Class DataTools

Inheritance
Object
DataTools
Inherited Members
Namespace: TowseyLibrary
Assembly: TowseyLibrary.dll
Syntax
public class DataTools

Fields

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ln2

Declaration
public const double ln2 = 0.69314718
Field Value
Type Description
Double
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MonthNames

assumes date string has following 8 digit strcture YYYYMMDD.

Declaration
public static string[] MonthNames
Field Value
Type Description
String[]

Methods

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AddMatrices(Double[,], Double[,])

ADD matrix m2 to matrix m1.

Declaration
public static double[, ] AddMatrices(double[, ] m1, double[, ] m2)
Parameters
Type Name Description
Double[,] m1
Double[,] m2
Returns
Type Description
Double[,]
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AddVectors(Double[], Double[])

Add vector v2 to v1.

Declaration
public static double[] AddVectors(double[] v1, double[] v2)
Parameters
Type Name Description
Double[] v1
Double[] v2
Returns
Type Description
Double[]
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AntiLog(Double, Double)

Declaration
public static double AntiLog(double value, double logBase)
Parameters
Type Name Description
Double value
Double logBase
Returns
Type Description
Double
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AntiLogBase10(Double)

Declaration
public static double AntiLogBase10(double value)
Parameters
Type Name Description
Double value
Returns
Type Description
Double
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areaUnderCurve(Double, Double, Double, Double)

Declaration
public static double areaUnderCurve(double x1, double y1, double x2, double y2)
Parameters
Type Name Description
Double x1
Double y1
Double x2
Double y2
Returns
Type Description
Double
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Array2Matrix(Byte[], Int32, Int32)

Declaration
public static byte[, ] Array2Matrix(byte[] array, int width, int height)
Parameters
Type Name Description
Byte[] array
Int32 width
Int32 height
Returns
Type Description
Byte[,]
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Array2String(Double[])

Declaration
public static string Array2String(double[] array)
Parameters
Type Name Description
Double[] array
Returns
Type Description
String
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Array2String(Int32[])

Declaration
public static string Array2String(int[] array)
Parameters
Type Name Description
Int32[] array
Returns
Type Description
String
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Array2String(String[])

Declaration
public static string Array2String(string[] array)
Parameters
Type Name Description
String[] array
Returns
Type Description
String
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Bool2Binary(Boolean[])

Declaration
public static double[] Bool2Binary(bool[] boolArray)
Parameters
Type Name Description
Boolean[] boolArray
Returns
Type Description
Double[]
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BoundArray(Double[], Double, Double)

bounds a sequence of numbers between a minimum and a maximum. Numbers that fall outside the bound are truncated to the bound.

Declaration
public static double[] BoundArray(double[] A, double min, double max)
Parameters
Type Name Description
Double[] A

array to be bound.
Double min

The minimum bound.
Double max

The maximum bound.
Returns
Type Description
Double[]
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BoundMatrix(Double[,], Double, Double)

bounds a matrix of numbers between a minimum and a maximum. Numbers that fall outside the bound are truncated to the bound.

Declaration
public static double[, ] BoundMatrix(double[, ] M, double min, double max)
Parameters
Type Name Description
Double[,] M

the matrix to be bound.
Double min

The minimum bound.
Double max

The maximum bound.
Returns
Type Description
Double[,]
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Clip(Double[,], Double, Double)

Declaration
public static double[, ] Clip(double[, ] m, double minPercentile, double maxPercentile)
Parameters
Type Name Description
Double[,] m
Double minPercentile
Double maxPercentile
Returns
Type Description
Double[,]
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combinatorial(Int32, Int32)

Declaration
public static long combinatorial(int N, int K)
Parameters
Type Name Description
Int32 N
Int32 K
Returns
Type Description
Int64
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ConcatenateVectors(List<Double[]>)

Declaration
public static double[] ConcatenateVectors(List<double[]> list)
Parameters
Type Name Description
List<Double[]> list
Returns
Type Description
Double[]
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ConcatenateVectors(Double[][])

Declaration
public static double[] ConcatenateVectors(params double[][] vectors)
Parameters
Type Name Description
Double[][] vectors
Returns
Type Description
Double[]
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ConvertJaggedToMatrix(Double[][])

converts an array of arrays to a matrix.

Declaration
public static double[, ] ConvertJaggedToMatrix(double[][] list)
Parameters
Type Name Description
Double[][] list
Returns
Type Description
Double[,]
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ConvertList2Matrix(List<Double[]>)

Declaration
public static double[, ] ConvertList2Matrix(List<double[]> list)
Parameters
Type Name Description
List<Double[]> list
Returns
Type Description
Double[,]
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ConvertProbabilityDistribution2CummulativeProbabilites(Double[])

calculates the cumulative probabilities from a prob array. assumes that values in the data vector are >= zero and sum = 1.0.

Declaration
public static double[] ConvertProbabilityDistribution2CummulativeProbabilites(double[] data)
Parameters
Type Name Description
Double[] data
Returns
Type Description
Double[]
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ConvertStringArrayToDoubles(String[])

Declaration
public static double[] ConvertStringArrayToDoubles(string[] list)
Parameters
Type Name Description
String[] list
Returns
Type Description
Double[]
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CosineSimilarity(Double[], Double[])

Declaration
public static double CosineSimilarity(double[] v1, double[] v2)
Parameters
Type Name Description
Double[] v1
Double[] v2
Returns
Type Description
Double
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CosineSimilarity(Double[,], Double[,])

Declaration
public static double CosineSimilarity(double[, ] m1, double[, ] m2)
Parameters
Type Name Description
Double[,] m1
Double[,] m2
Returns
Type Description
Double
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CountPeaks(Double[], out Int32, out Double)

Declaration
public static void CountPeaks(double[] array, out int count, out double sum)
Parameters
Type Name Description
Double[] array
Int32 count
Double sum
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CountPositives(Double[])

counts the positive values in an array. Called by Classifier.Scan(Sonogram s).

Declaration
public static int CountPositives(double[] values)
Parameters
Type Name Description
Double[] values
Returns
Type Description
Int32
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CountPositives(Int32[])

Declaration
public static int CountPositives(int[] values)
Parameters
Type Name Description
Int32[] values
Returns
Type Description
Int32
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CountTrues(Boolean[])

Declaration
public static int CountTrues(bool[] peaks)
Parameters
Type Name Description
Boolean[] peaks
Returns
Type Description
Int32
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Data2Bins(Int32[], Int32, Int32, Int32)

Declaration
public static int[] Data2Bins(int[] data, int min, int binWidth, int numBins)
Parameters
Type Name Description
Int32[] data
Int32 min
Int32 binWidth
Int32 numBins
Returns
Type Description
Int32[]
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DiffFromMean(Double[])

shift values by their mean.

Declaration
public static double[] DiffFromMean(double[] V)
Parameters
Type Name Description
Double[] V
Returns
Type Description
Double[]
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DiffFromMean(Double[,])

shift values by their mean.

Declaration
public static double[, ] DiffFromMean(double[, ] m)
Parameters
Type Name Description
Double[,] m
Returns
Type Description
Double[,]
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DotProduct(Double[], Double[])

This method requires that v1 and v2 have same dimensions.

Declaration
public static double DotProduct(double[] v1, double[] v2)
Parameters
Type Name Description
Double[] v1
Double[] v2
Returns
Type Description
Double

The dot product.
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DotProduct(Double[,], Double[,])

Declaration
public static double DotProduct(double[, ] m1, double[, ] m2)
Parameters
Type Name Description
Double[,] m1
Double[,] m2
Returns
Type Description
Double
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Entropy(Double[])

Calculates the entropy of the passed discrete distribution.

It is assumed that each of the elements in distr[] represent the probability of that state and that the probabilities sum to 1.0

Math.log() is base e. To convert to log base 2 need to divide by the natural log of 2 = ln2 = 0.69314. NOTE: In the limit as rf approaches 0, rf*log(rf) = 0.

Declaration
public static double Entropy(double[] distr)
Parameters
Type Name Description
Double[] distr
Returns
Type Description
Double
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Entropy(Double[,])

Declaration
public static double Entropy(double[, ] matrixDistr)
Parameters
Type Name Description
Double[,] matrixDistr
Returns
Type Description
Double
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EntropyNormalised(Double[])

returns the entropy of a vector of values normalized for vector length.

Declaration
public static double EntropyNormalised(double[] v)
Parameters
Type Name Description
Double[] v
Returns
Type Description
Double
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EntropyNormalised(Int32[])

Declaration
public static double EntropyNormalised(int[] v)
Parameters
Type Name Description
Int32[] v
Returns
Type Description
Double
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EuclideanDistance(Byte[], Byte[])

returns EUCLIDEAN DISTANCE BETWEEN two vectors of byte.

Declaration
public static double EuclideanDistance(byte[] v1, byte[] v2)
Parameters
Type Name Description
Byte[] v1
Byte[] v2
Returns
Type Description
Double
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EuclideanDistance(Double[], Double[])

returns EUCLIDEAN DISTANCE BETWEEN two vectors.

Declaration
public static double EuclideanDistance(double[] v1, double[] v2)
Parameters
Type Name Description
Double[] v1
Double[] v2
Returns
Type Description
Double
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EuclideanDistance(Double[,], Double[,])

returns EUCLIDIAN DISTANCE BETWEEN two matrices.

Declaration
public double EuclideanDistance(double[, ] m1, double[, ] m2)
Parameters
Type Name Description
Double[,] m1
Double[,] m2
Returns
Type Description
Double
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filterMovingAverage(Double[], Int32)

A new and more accurate version of the moving average filter. The previous version had some errors in calculation of the trailing edge. This version is also more efficient because it does not have a double loop. It also makes a distinction between odd and even window width.

Declaration
public static double[] filterMovingAverage(double[] signal, int width)
Parameters
Type Name Description
Double[] signal
Int32 width
Returns
Type Description
Double[]
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filterMovingAverage(Int32[], Int32)

Declaration
public static double[] filterMovingAverage(int[] signal, int width)
Parameters
Type Name Description
Int32[] signal
Int32 width
Returns
Type Description
Double[]
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filterMovingAverage(Single[], Int32)

Declaration
public static float[] filterMovingAverage(float[] signal, int width)
Parameters
Type Name Description
Single[] signal
Int32 width
Returns
Type Description
Single[]
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filterMovingAverageEven(Double[], Int32)

Declaration
public static double[] filterMovingAverageEven(double[] signal, int width)
Parameters
Type Name Description
Double[] signal
Int32 width
Returns
Type Description
Double[]
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filterMovingAverageOdd(Double[], Int32)

Declaration
public static double[] filterMovingAverageOdd(double[] signal, int width)
Parameters
Type Name Description
Double[] signal
Int32 width
Returns
Type Description
Double[]
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filterMovingAverageOLD(Double[], Int32)

An old and now deprecated version of the moving averge filter.

Declaration
public static double[] filterMovingAverageOLD(double[] signal, int width)
Parameters
Type Name Description
Double[] signal
Int32 width
Returns
Type Description
Double[]
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GapLengths(Boolean[])

returns a list of gaps between the trues in a boolean array.

Declaration
public static List<int> GapLengths(bool[] binaryArray)
Parameters
Type Name Description
Boolean[] binaryArray
Returns
Type Description
List<Int32>
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GapLengths(Double[])

returns a list of gaps between 1s in a binary array.

Declaration
public static List<int> GapLengths(double[] binaryArray)
Parameters
Type Name Description
Double[] binaryArray
Returns
Type Description
List<Int32>
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GetArrayTypes(List<String[]>)

Declaration
public static Type[] GetArrayTypes(List<string[]> listOfArrays)
Parameters
Type Name Description
List<String[]> listOfArrays
Returns
Type Description
Type[]
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GetByteDistribution(Byte[,])

returns the min and max values in a matrix of byte.

Declaration
public static int[] GetByteDistribution(byte[, ] data)
Parameters
Type Name Description
Byte[,] data
Returns
Type Description
Int32[]
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GetColumn(Double[,], Int32)

Declaration
public static double[] GetColumn(double[, ] m, int colID)
Parameters
Type Name Description
Double[,] m
Int32 colID
Returns
Type Description
Double[]
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GetColumnsAverages(Double[,])

Declaration
public static double[] GetColumnsAverages(double[, ] m)
Parameters
Type Name Description
Double[,] m
Returns
Type Description
Double[]
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GetColumnSum(Int32[,], Int32)

Declaration
public static int GetColumnSum(int[, ] m, int colID)
Parameters
Type Name Description
Int32[,] m
Int32 colID
Returns
Type Description
Int32
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GetColumnSums(Byte[,])

Declaration
public static int[] GetColumnSums(byte[, ] m)
Parameters
Type Name Description
Byte[,] m
Returns
Type Description
Int32[]
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GetEventLengths(Boolean[])

Declaration
public static List<int> GetEventLengths(bool[] boolArray)
Parameters
Type Name Description
Boolean[] boolArray
Returns
Type Description
List<Int32>
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GetHistogramOfDistancesBetweenEveryPairOfPeaks(Double[], Double)

Declaration
public static int[] GetHistogramOfDistancesBetweenEveryPairOfPeaks(double[] data, double threshold)
Parameters
Type Name Description
Double[] data
Double threshold
Returns
Type Description
Int32[]
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GetInitialisedArray(Int32, Double)

returns an array of double initialised with passed value.

Declaration
public static double[] GetInitialisedArray(int length, double iniValue)
Parameters
Type Name Description
Int32 length
Double iniValue
Returns
Type Description
Double[]
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GetMaxIndex(List<Int32>)

Declaration
public static int GetMaxIndex(List<int> data)
Parameters
Type Name Description
List<Int32> data
Returns
Type Description
Int32
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GetMaxIndex(Double[])

Same as above method but returns index instead of outting it! returns the index of max value in an array of doubles. array index starts at zero.

Declaration
public static int GetMaxIndex(double[] data)
Parameters
Type Name Description
Double[] data
Returns
Type Description
Int32
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getMaxIndex(Double[], out Int32)

Declaration
public static void getMaxIndex(double[] data, out int indexMax)
Parameters
Type Name Description
Double[] data
Int32 indexMax
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GetMaxIndex(Int32[])

Same as above method but returns index instead of outting it! returns the index of max value in an array of doubles. array index starts at zero. If more than one value is equal max, then returns location of first.

Declaration
public static int GetMaxIndex(int[] data)
Parameters
Type Name Description
Int32[] data
Returns
Type Description
Int32
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getMaxIndex(Int32[], out Int32)

Declaration
public static void getMaxIndex(int[] data, out int indexMax)
Parameters
Type Name Description
Int32[] data
Int32 indexMax
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GetMedian(Double[])

return median of an array.

Declaration
public static double GetMedian(double[] v)
Parameters
Type Name Description
Double[] v
Returns
Type Description
Double
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GetMinIndex(Double[])

same as above but returns the index of data element having minimum value.

Declaration
public static int GetMinIndex(double[] data)
Parameters
Type Name Description
Double[] data
Returns
Type Description
Int32
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GetModeAndOneTailedStandardDeviation(Double[], out Int32[], out Double, out Double, out Int32, out Double, out Double)

This method is used to calculate the mean and SD of acoustic indices whose distributions are very skewed, e.g. temporal entropy and cover. It returns the min, max, mode and one-sided standard deviation of an array of doubles. NOTE: The mode is prevented from being in lowest two bins because we typically do not want the mode to be near the minimum value of the distribution. This method accomodates the possibility that the distribution of index values is a truncated Gaussian or a skewed Gaussian. Once the modal position has been determined, it is assumed that the Sd is to be determined from the long-tailed side. i.e. the modal position is assumed to be the average of the underlying distribution.

Declaration
public static void GetModeAndOneTailedStandardDeviation(double[] values, out int[] histogram, out double min, out double max, out int modalBin, out double mode, out double SD)
Parameters
Type Name Description
Double[] values

an array of values.
Int32[] histogram

histogram dervied from passed array.
Double min

min value.
Double max

max value in the array.
Int32 modalBin

bin having modal value.
Double mode

the value of the mode.
Double SD

standard deviation of the distribution.
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GetModeAndOneTailedStandardDeviation(Int32[], out Int32, out Int32)

Assuming the passed histogram represents a distribution of values (derived from acoustic indices). which a signal is added to Gaussian noise, This method accomodates the possibility that the distribution of values is a truncated Gaussian or a skewed Gaussian. Once the modal position has been determined, it is assumed that the Sd is to be determined from the long-tailed side. i.e. the modal position is assumed to be the average of the underlying distribution. This method is used to calculate the mean and SD of acoustic indices whose distrubtions are very skewed, e.g. temporal entropy and cover.

Declaration
public static void GetModeAndOneTailedStandardDeviation(int[] histo, out int indexOfMode, out int indexOfOneSD)
Parameters
Type Name Description
Int32[] histo
Int32 indexOfMode
Int32 indexOfOneSD
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GetNthLargestValue(Double[], Int32)

Declaration
public static double GetNthLargestValue(double[] data, int N)
Parameters
Type Name Description
Double[] data
Int32 N
Returns
Type Description
Double
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GetNthSmallestValue(Double[], Int32)

Declaration
public static double GetNthSmallestValue(double[] data, int N)
Parameters
Type Name Description
Double[] data
Int32 N
Returns
Type Description
Double
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GetOrderedPeakLocations(Double[], Int32)

Declaration
public static int[] GetOrderedPeakLocations(double[] peakValues, int count)
Parameters
Type Name Description
Double[] peakValues
Int32 count
Returns
Type Description
Int32[]
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GetPeaks(Double[])

Finds the local maxima in a vector.

Declaration
public static bool[] GetPeaks(double[] data)
Parameters
Type Name Description
Double[] data
Returns
Type Description
Boolean[]
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GetPeaks(Double[], Double)

Finds the local peaks in a vector whose value exceeds the passed threshold.

Declaration
public static bool[] GetPeaks(double[] data, double threshold)
Parameters
Type Name Description
Double[] data
Double threshold
Returns
Type Description
Boolean[]
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GetPeakValues(Double[])

returns an array showing values at the peaks.

Declaration
public static double[] GetPeakValues(double[] array)
Parameters
Type Name Description
Double[] array
Returns
Type Description
Double[]
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GetRankedIndicesInAscendingOrder(Double[])

Declaration
public static int[] GetRankedIndicesInAscendingOrder(double[] data)
Parameters
Type Name Description
Double[] data
Returns
Type Description
Int32[]
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GetRankedIndicesInDecendingOrder(Double[])

Declaration
public static int[] GetRankedIndicesInDecendingOrder(double[] data)
Parameters
Type Name Description
Double[] data
Returns
Type Description
Int32[]
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GetRow(Byte[,], Int32)

Declaration
public static byte[] GetRow(byte[, ] m, int rowID)
Parameters
Type Name Description
Byte[,] m
Int32 rowID
Returns
Type Description
Byte[]
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GetRow(Double[,], Int32)

Declaration
public static double[] GetRow(double[, ] m, int rowID)
Parameters
Type Name Description
Double[,] m
Int32 rowID
Returns
Type Description
Double[]
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GetRowSum(Byte[,], Int32)

Declaration
public static int GetRowSum(byte[, ] m, int rowID)
Parameters
Type Name Description
Byte[,] m
Int32 rowID
Returns
Type Description
Int32
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GetRowSum(Double[,], Int32)

Declaration
public static double GetRowSum(double[, ] m, int rowID)
Parameters
Type Name Description
Double[,] m
Int32 rowID
Returns
Type Description
Double
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GetRowSum(Int32[,], Int32)

Declaration
public static int GetRowSum(int[, ] m, int rowID)
Parameters
Type Name Description
Int32[,] m
Int32 rowID
Returns
Type Description
Int32
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GetRowSums(Byte[,])

Declaration
public static int[] GetRowSums(byte[, ] m)
Parameters
Type Name Description
Byte[,] m
Returns
Type Description
Int32[]
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GetTroughs(Double[])

Declaration
public static bool[] GetTroughs(double[] data)
Parameters
Type Name Description
Double[] data
Returns
Type Description
Boolean[]
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GetWeightedCombinationOfColumns(List<Double[]>, Double[])

Declaration
public static double[] GetWeightedCombinationOfColumns(List<double[]> arrays, double[] wts)
Parameters
Type Name Description
List<Double[]> arrays
Double[] wts
Returns
Type Description
Double[]
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HammingDistance(Double[], Double[])

Calculates Hamming distance for two vectors of doubles. d[i] = 1 if((int)Math.Round(Math.Abs(v1[i] - v2[i])) == 1 ).

Declaration
public static int HammingDistance(double[] v1, double[] v2)
Parameters
Type Name Description
Double[] v1
Double[] v2
Returns
Type Description
Int32
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IsArrayOfBoolean(String[])

Declaration
public static bool IsArrayOfBoolean(string[] array)
Parameters
Type Name Description
String[] array
Returns
Type Description
Boolean
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IsArrayOfDouble(String[])

Declaration
public static bool IsArrayOfDouble(string[] array)
Parameters
Type Name Description
String[] array
Returns
Type Description
Boolean
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IsArrayOfInt(String[])

Declaration
public static bool IsArrayOfInt(string[] array)
Parameters
Type Name Description
String[] array
Returns
Type Description
Boolean
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IsPowerOfTwo(UInt64)

Declaration
public static bool IsPowerOfTwo(ulong x)
Parameters
Type Name Description
UInt64 x
Returns
Type Description
Boolean
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Log10Values(Double[], Double)

Gets the log10 of an array of values. Assume that all values are non-zero and positive.

Declaration
public static double[] Log10Values(double[] data, double epsilon)
Parameters
Type Name Description
Double[] data

The input data array.
Double epsilon

The smallest accepted non-zero value.
Returns
Type Description
Double[]
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LogicalORofTwoVectors(Byte[], Byte[])

Logical AND of two vectors vector v2 to v1.

Declaration
public static byte[] LogicalORofTwoVectors(byte[] v1, byte[] v2)
Parameters
Type Name Description
Byte[] v1
Byte[] v2
Returns
Type Description
Byte[]
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ManhattanDistance(Double[], Double[])

returns MANHATTAN DISTANCE BETWEEN two vectors.

Declaration
public static double ManhattanDistance(double[] v1, double[] v2)
Parameters
Type Name Description
Double[] v1
Double[] v2
Returns
Type Description
Double
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Matrix2Array(Byte[,])

Declaration
public static byte[] Matrix2Array(byte[, ] M)
Parameters
Type Name Description
Byte[,] M
Returns
Type Description
Byte[]
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Matrix2Array(Double[,,])

Declaration
public static double[] Matrix2Array(double[,, ] M)
Parameters
Type Name Description
Double[,,] M
Returns
Type Description
Double[]
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Matrix2Array(Double[,])

Converts a matrix to a vector by concatenating columns.

Declaration
public static double[] Matrix2Array(double[, ] m)
Parameters
Type Name Description
Double[,] m
Returns
Type Description
Double[]
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Matrix2Array(Int32[,,])

Declaration
public static int[] Matrix2Array(int[,, ] M)
Parameters
Type Name Description
Int32[,,] M
Returns
Type Description
Int32[]
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Matrix2Array(Int32[,])

Declaration
public static int[] Matrix2Array(int[, ] m)
Parameters
Type Name Description
Int32[,] m
Returns
Type Description
Int32[]
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Matrix2Binary(Double[,], Double)

Declaration
public static double[, ] Matrix2Binary(double[, ] M, double threshold)
Parameters
Type Name Description
Double[,] M
Double threshold
Returns
Type Description
Double[,]
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MatrixRotate90Anticlockwise(Double[,])

Rotates a matrix 90 degrees anticlockwise. Used for Syntactic pattern recognition Converts Image matrix to Spectrogram data orientation.

Declaration
public static double[, ] MatrixRotate90Anticlockwise(double[, ] m)
Parameters
Type Name Description
Double[,] m
Returns
Type Description
Double[,]
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MatrixRotate90Clockwise(Char[,])

Rotates a matrix 90 degrees clockwise. Used for Syntactic pattern recognition Converts Image matrix to Spectrogram data orientation.

Declaration
public static char[, ] MatrixRotate90Clockwise(char[, ] m)
Parameters
Type Name Description
Char[,] m
Returns
Type Description
Char[,]
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MatrixRotate90Clockwise(Double[,])

Rotates a matrix 90 degrees clockwise.

Declaration
public static double[, ] MatrixRotate90Clockwise(double[, ] m)
Parameters
Type Name Description
Double[,] m
Returns
Type Description
Double[,]
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MatrixTranspose(Byte[,])

performs a matrix transform.

Declaration
public static byte[, ] MatrixTranspose(byte[, ] M)
Parameters
Type Name Description
Byte[,] M

the matrix to transform.
Returns
Type Description
Byte[,]
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MatrixTranspose(Char[,])

transforms a matrix of char. Used for Syntatctic pttern recognition.

Declaration
public static char[, ] MatrixTranspose(char[, ] m)
Parameters
Type Name Description
Char[,] m
Returns
Type Description
Char[,]
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MatrixTranspose(Double[,])

performs a matrix transform.

Declaration
public static double[, ] MatrixTranspose(double[, ] M)
Parameters
Type Name Description
Double[,] M

the matrix to transform.
Returns
Type Description
Double[,]
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MinMax(Byte[], out Byte, out Byte)

Declaration
public static void MinMax(byte[] data, out byte min, out byte max)
Parameters
Type Name Description
Byte[] data
Byte min
Byte max
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MinMax(Byte[,], out Byte, out Byte)

returns the min and max values in a matrix of byte.

Declaration
public static void MinMax(byte[, ] data, out byte min, out byte max)
Parameters
Type Name Description
Byte[,] data
Byte min
Byte max
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MinMax(Double[], out Double, out Double)

Declaration
public static void MinMax(double[] data, out double min, out double max)
Parameters
Type Name Description
Double[] data
Double min
Double max
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MinMax(Double[], out Int32, out Int32, out Double, out Double)

Declaration
public static void MinMax(double[] data, out int indexMin, out int indexMax, out double min, out double max)
Parameters
Type Name Description
Double[] data
Int32 indexMin
Int32 indexMax
Double min
Double max
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MinMax(Double[,], out Double, out Double)

returns the min and max values in a matrix of doubles.

Declaration
public static void MinMax(double[, ] data, out double min, out double max)
Parameters
Type Name Description
Double[,] data
Double min
Double max
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MinMax(Int32[], out Int32, out Int32)

Returns the min and max of a set of integer values in the passed array.

Declaration
public static void MinMax(int[] data, out int min, out int max)
Parameters
Type Name Description
Int32[] data

array ofintegers.
Int32 min

min value to return.
Int32 max

max value to return.
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MinMaxAv(Double[], out Double, out Double, out Double)

Declaration
public static void MinMaxAv(double[] data, out double min, out double max, out double av)
Parameters
Type Name Description
Double[] data
Double min
Double max
Double av
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ModalValue(Double[], out Double, out Double)

This algorithm is derived from the Lamel et al algorithm used in the SNR class. Only difference is return the true model value whereever it is. The relevant lines have been commented.

Declaration
public static void ModalValue(double[] array, out double Q, out double oneSD)
Parameters
Type Name Description
Double[] array
Double Q
Double oneSD
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MutualInformation(Int32[,])

Declaration
public static double MutualInformation(int[, ] counts)
Parameters
Type Name Description
Int32[,] counts
Returns
Type Description
Double
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normalise(Double[])

Normalizes the passed array between 0,1. Ensures all values are positive. Minimum array value set = 0.0. Maximum array value set = 1.0.

Declaration
public static double[] normalise(double[] v)
Parameters
Type Name Description
Double[] v
Returns
Type Description
Double[]
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Normalise(Double[], Double, Double)

normalises the values in a vector between the passed min and max.

Declaration
public static double[] Normalise(double[] v, double normMin, double normMax)
Parameters
Type Name Description
Double[] v
Double normMin
Double normMax
Returns
Type Description
Double[]
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Normalise(Double[], Double, out Double[], out Double)

Normalises a vector in 0, 1 and also returns a threshold value accordingly normalised.

Declaration
public static void Normalise(double[] v, double threshold, out double[] output, out double normalisedThreshold)
Parameters
Type Name Description
Double[] v
Double threshold
Double[] output
Double normalisedThreshold
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normalise(Double[,])

normalised matrix of real values to [0,1].

Declaration
public static double[, ] normalise(double[, ] m)
Parameters
Type Name Description
Double[,] m
Returns
Type Description
Double[,]
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Normalise(Double[,], Double, Double)

normalises the values in a matrix between the passed min and max.

Declaration
public static double[, ] Normalise(double[, ] m, double normMin, double normMax)
Parameters
Type Name Description
Double[,] m
Double normMin
Double normMax
Returns
Type Description
Double[,]
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normalise(Int32[])

normalizes the passed array between 0,1. Ensures all values are positive. WARNING: Where the min = max (e.g. a uniform distribution), this method will return an array of NaN. The calling method needs to check for this.

Declaration
public static double[] normalise(int[] v)
Parameters
Type Name Description
Int32[] v
Returns
Type Description
Double[]
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normalise_zeroEdge(Double[,], Double, Double)

normalises the values in a matrix such that the minimum value is the average of the edge values. Truncate thos original values that are below the edge average. This method is used to NormaliseMatrixValues image templates where there should be no power at the edge.

Declaration
public static double[, ] normalise_zeroEdge(double[, ] m, double normMin, double normMax)
Parameters
Type Name Description
Double[,] m
Double normMin
Double normMax
Returns
Type Description
Double[,]
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Normalise2Probabilites(Double[])

normalises an array of doubles to probabilities that sum to one. assumes that values in the data vector are >= zero.

Declaration
public static double[] Normalise2Probabilites(double[] data)
Parameters
Type Name Description
Double[] data
Returns
Type Description
Double[]
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normalise2UnitLength(Double[])

Declaration
public static double[] normalise2UnitLength(double[] v)
Parameters
Type Name Description
Double[] v
Returns
Type Description
Double[]
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normalise2UnitLength(Int32[])

Declaration
public static double[] normalise2UnitLength(int[] v)
Parameters
Type Name Description
Int32[] v
Returns
Type Description
Double[]
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NormaliseArea(Double[])

Normalizes an array so that the sum of its values (area under curve) = 1.0 Use to express data as probability function. WARNING: ONLY USE THIS METHOD IF ARRAY CONTAINS NEGATIVE VALUES First of all normalises array into [0,1] WARNING: This method will NOT work where have a uniform distribution of negative values.

Declaration
public static double[] NormaliseArea(double[] data)
Parameters
Type Name Description
Double[] data
Returns
Type Description
Double[]
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NormaliseArea(Int32[])

Normalizes an array so that the sum of its values (area under curve) = 1.0 Use to express data as probability function. WARNING: This method will NOT work where have a uniform distribution of negative values.

Declaration
public static double[] NormaliseArea(int[] array)
Parameters
Type Name Description
Int32[] array
Returns
Type Description
Double[]
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NormaliseByScalingMaxValueToOne(Double[])

Normalises the passed vector by keeping the vector's zero but scaling the max value down to 1.0. WARNING: This method assumes that all values in the passed array are >= zero.

Declaration
public static double[] NormaliseByScalingMaxValueToOne(double[] v)
Parameters
Type Name Description
Double[] v
Returns
Type Description
Double[]
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NormaliseInZeroOne(Double, Double, Double)

normalises the values in a vector such that the passed min value = 0 and the passed max value = 1.0 Values LT 0.0 and GT 1.0 are truncated.

Declaration
public static double NormaliseInZeroOne(double value, double normMin, double normMax)
Parameters
Type Name Description
Double value
Double normMin
Double normMax
Returns
Type Description
Double
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NormaliseInZeroOne(Double[], Double, Double)

normalises the values in a vector such that the passed min value = 0 and the passed max value = 1.0 Values LT 0.0 and GT 1.0 are truncated.

Declaration
public static double[] NormaliseInZeroOne(double[] v, double normMin, double normMax)
Parameters
Type Name Description
Double[] v
Double normMin
Double normMax
Returns
Type Description
Double[]
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NormaliseInZeroOne(Double[,], Double, Double)

Declaration
public static double[, ] NormaliseInZeroOne(double[, ] m, double normMin, double normMax)
Parameters
Type Name Description
Double[,] m
Double normMin
Double normMax
Returns
Type Description
Double[,]
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NormaliseReverseInZeroOne(Double[,], Double, Double)

Declaration
public static double[, ] NormaliseReverseInZeroOne(double[, ] m, double normMin, double normMax)
Parameters
Type Name Description
Double[,] m
Double normMin
Double normMax
Returns
Type Description
Double[,]
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NormaliseValue(Double, Double, Double)

Declaration
public double NormaliseValue(double val, double normMin, double normMax)
Parameters
Type Name Description
Double val
Double normMin
Double normMax
Returns
Type Description
Double
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NormaliseValues(Int32[], Int32, Int32)

Declaration
public static double[] NormaliseValues(int[] val, int normMin, int normMax)
Parameters
Type Name Description
Int32[] val
Int32 normMin
Int32 normMax
Returns
Type Description
Double[]
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Order(Double[], Double[])

Declaration
public static double[] Order(double[] array, double[] order)
Parameters
Type Name Description
Double[] array
Double[] order
Returns
Type Description
Double[]
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padString_post(String, Int32)

Declaration
public static string padString_post(string str, int width)
Parameters
Type Name Description
String str
Int32 width
Returns
Type Description
String
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padString_pre(String, Int32)

Declaration
public static string padString_pre(string str, int width)
Parameters
Type Name Description
String str
Int32 width
Returns
Type Description
String
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PatternSimilarity(Double[], Double[])

Declaration
public static double PatternSimilarity(double[] pattern, double[] data)
Parameters
Type Name Description
Double[] pattern
Double[] data
Returns
Type Description
Double
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PeakLocations(Double[], Double)

returns a list containing integer index of every peak > threshold.

Declaration
public static List<int> PeakLocations(double[] array, double threshold)
Parameters
Type Name Description
Double[] array
Double threshold
Returns
Type Description
List<Int32>
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PeakLocations(Double[], Double, out Int32, out Double[])

returns an array showing locaiton of peaks.

Declaration
public static void PeakLocations(double[] array, double threshold, out int count, out double[] locations)
Parameters
Type Name Description
Double[] array
Double threshold
Int32 count
Double[] locations
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Peaks_CropLowAmplitude(Double[], Double)

prunes the start and end of an array to remove low values.

Declaration
public static int[] Peaks_CropLowAmplitude(double[] data, double threshold)
Parameters
Type Name Description
Double[] data

an array of double.
Double threshold

must be in range [0,1].
Returns
Type Description
Int32[]
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Peaks_CropToFirstAndLast(Double[], Double)

Returns the location of the first and last peaks.

Declaration
public static int[] Peaks_CropToFirstAndLast(double[] data, double severity)
Parameters
Type Name Description
Double[] data
Double severity
Returns
Type Description
Int32[]
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PercentileCutoffs(Double[,], Double, Double, out Double, out Double)

returns the min and max percentile values of the values in passed matrix. Must have previously calculated the min and max values in the matrix.

Declaration
public static void PercentileCutoffs(double[, ] matrix, double minPercentile, double maxPercentile, out double minCut, out double maxCut)
Parameters
Type Name Description
Double[,] matrix

the matrix.
Double minPercentile
Double maxPercentile
Double minCut

power value equivalent to minPercentile.
Double maxCut

power value equivalent to maxPercentile.
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Periodicity(Double[], Int32, Int32)

Searches an array of values for periodicity. Calls the method PeriodicityDetection() to obtain a score for every combination of period and phase between the passed min and max bounds. The score is an estimate of the maximum amplitude for all combinations of period and phase. More accurately, the score is the difference between the average of the periodic indices and the average of the mid-period indices. Returns the maximum periodic score and the period at which it was obtained.

Declaration
public static Tuple<double, int, int> Periodicity(double[] values, int minPeriod, int maxPeriod)
Parameters
Type Name Description
Double[] values
Int32 minPeriod
Int32 maxPeriod
Returns
Type Description
Tuple<Double, Int32, Int32>
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Periodicity_MeanAndSD(Double[])

Declaration
public static Tuple<double, double, int> Periodicity_MeanAndSD(double[] values)
Parameters
Type Name Description
Double[] values
Returns
Type Description
Tuple<Double, Double, Int32>
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PeriodicityAndPhaseDetection(Double[], Int32, Int32)

returns the amplitude of an oscillation in an array having the given period.

Declaration
public static Tuple<double, int> PeriodicityAndPhaseDetection(double[] values, int period, int phase)
Parameters
Type Name Description
Double[] values
Int32 period
Int32 phase
Returns
Type Description
Tuple<Double, Int32>
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PeriodicityDetection(Double[], Int32, Int32)

Returns for each position in an array a periodicity score. That score is the maximum obtained for a range of periods over three cycles. This allowes the periodicity to change over the array and still return the maximum periodicity score.

Declaration
public static double[] PeriodicityDetection(double[] values, int minPeriod, int maxPeriod)
Parameters
Type Name Description
Double[] values
Int32 minPeriod
Int32 maxPeriod
Returns
Type Description
Double[]
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PowerOf2Exponent(Int32)

Declaration
public static int PowerOf2Exponent(int number)
Parameters
Type Name Description
Int32 number
Returns
Type Description
Int32
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RelativeEntropy(Double[])

Declaration
public static double RelativeEntropy(double[] distr)
Parameters
Type Name Description
Double[] distr
Returns
Type Description
Double
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RelativeEntropy(Double[], Double[])

Declaration
public static double RelativeEntropy(double[] dist, double[] refDist)
Parameters
Type Name Description
Double[] dist
Double[] refDist
Returns
Type Description
Double
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RemoveNullElementsFromList(List<Double[]>)

Declaration
public static List<double[]> RemoveNullElementsFromList(List<double[]> list)
Parameters
Type Name Description
List<Double[]> list
Returns
Type Description
List<Double[]>
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reverseArray(Double[])

Declaration
public static double[] reverseArray(double[] V)
Parameters
Type Name Description
Double[] V
Returns
Type Description
Double[]
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reverseArray(Int32[])

Declaration
public static int[] reverseArray(int[] V)
Parameters
Type Name Description
Int32[] V
Returns
Type Description
Int32[]
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roundDouble(Double, Int32)

Declaration
public static double roundDouble(double d, int places)
Parameters
Type Name Description
Double d
Int32 places
Returns
Type Description
Double
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SampleArrayRandomlyWithoutReplacementUsingProbabilityDistribution(Double[], Int32, Int32)

Declaration
public static int[] SampleArrayRandomlyWithoutReplacementUsingProbabilityDistribution(double[] distribution, int sampleCount, int seed)
Parameters
Type Name Description
Double[] distribution
Int32 sampleCount
Int32 seed
Returns
Type Description
Int32[]
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ScaleArray(Double[], Int32)

Lengthens or shortens an array of values with appropriate scaling. However this method does NOT attempt to interpolate estimated values.

Declaration
public static double[] ScaleArray(double[] v, int newLength)
Parameters
Type Name Description
Double[] v

the array or vector of values to be scaled.
Int32 newLength

the lehgth of the new scaled array.
Returns
Type Description
Double[]

a scaled array.
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ScaleMatrix(Double[,], Int32, Int32)

Declaration
public static double[, ] ScaleMatrix(double[, ] matrix, int newRowCount, int newColCount)
Parameters
Type Name Description
Double[,] matrix
Int32 newRowCount
Int32 newColCount
Returns
Type Description
Double[,]
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SegmentArrayOnThreshold(Double[], Double)

returns a list of acoustic events defined by start, end and intensity score.

Declaration
public static List<double[]> SegmentArrayOnThreshold(double[] values, double threshold)
Parameters
Type Name Description
Double[] values
Double threshold
Returns
Type Description
List<Double[]>

List of double[] containing three values.
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SetColumn(Double[,], Int32, Double[])

Declaration
public static void SetColumn(double[, ] m, int colID, double[] array)
Parameters
Type Name Description
Double[,] m
Int32 colID
Double[] array
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SetColumnZero(Byte[,], Int32)

set all values in the passed column to zero.

Declaration
public static void SetColumnZero(byte[, ] m, int colID)
Parameters
Type Name Description
Byte[,] m
Int32 colID
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SortArray(List<Int32>)

sorts a list of integers. returns both the sorted array (Item2) and the array indices in rank order (Item1).

Declaration
public static Tuple<int[], int[]> SortArray(List<int> array)
Parameters
Type Name Description
List<Int32> array
Returns
Type Description
Tuple<Int32[], Int32[]>
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SortArray(Double[])

sorts an array of doubles in DESCENDING order i.e. max first. returns both the sorted array (Item2) and the array indices in rank order (Item1).

Declaration
public static Tuple<int[], double[]> SortArray(double[] array)
Parameters
Type Name Description
Double[] array
Returns
Type Description
Tuple<Int32[], Double[]>
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SortArray(Int32[])

Declaration
public static Tuple<int[], int[]> SortArray(int[] a)
Parameters
Type Name Description
Int32[] a
Returns
Type Description
Tuple<Int32[], Int32[]>
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SortArrayInAscendingOrder(Double[])

sorts an array of doubles in ASCENDING order. Returns both the sorted array (Item2) and the original array indices in sort order (Item1) this is a totally crude sort algorithm but I could not find a MathsNet sort that also returned the sorted indices.

Declaration
public static Tuple<int[], double[]> SortArrayInAscendingOrder(double[] array)
Parameters
Type Name Description
Double[] array
Returns
Type Description
Tuple<Int32[], Double[]>
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SquareRootOfValues(Double[])

Declaration
public static double[] SquareRootOfValues(double[] data)
Parameters
Type Name Description
Double[] data
Returns
Type Description
Double[]
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SquareValues(Double[])

Declaration
public static double[] SquareValues(double[] data)
Parameters
Type Name Description
Double[] data
Returns
Type Description
Double[]
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Subarray(Double[], Int32, Int32)

Declaration
public static double[] Subarray(double[] A, int start, int length)
Parameters
Type Name Description
Double[] A
Int32 start
Int32 length

the length of the subarray to be returned.
Returns
Type Description
Double[]
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Subarray(Int32[], Int32, Int32)

Declaration
public static int[] Subarray(int[] A, int start, int length)
Parameters
Type Name Description
Int32[] A
Int32 start
Int32 length
Returns
Type Description
Int32[]
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Subarray<T>(T[], Int32, Int32)

Returns a subarray of the passed array of any type.

Declaration
public static T[] Subarray<T>(T[] array, int start, int length)
Parameters
Type Name Description
T[] array

an array of any type.
Int32 start

the first element of the subarray.
Int32 length

number of elements in subarray.
Returns
Type Description
T[]
Type Parameters
Name Description
T
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Submatrix(Double[,], Int32, Int32, Int32, Int32)

Returns the submatrix of passed matrix. Assume that RowTop < RowBottom, && ColumnLeft < ColumnRight . Row, column indices start at 0.

Declaration
public static double[, ] Submatrix(double[, ] M, int r1, int c1, int r2, int c2)
Parameters
Type Name Description
Double[,] M
Int32 r1
Int32 c1
Int32 r2
Int32 c2
Returns
Type Description
Double[,]
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SubtractMatrices(Double[,], Double[,])

Subtract matrix m2 from matrix m1.

Declaration
public static double[, ] SubtractMatrices(double[, ] m1, double[, ] m2)
Parameters
Type Name Description
Double[,] m1
Double[,] m2
Returns
Type Description
Double[,]
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SubtractMean(Double[])

subtracts the mean from each value of an array.

Declaration
public static double[] SubtractMean(double[] v)
Parameters
Type Name Description
Double[] v
Returns
Type Description
Double[]
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SubtractValue(Double[], Double)

subtracts the value from each value of an array.

Declaration
public static double[] SubtractValue(double[] v, double value)
Parameters
Type Name Description
Double[] v
Double value
Returns
Type Description
Double[]
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SubtractValueAndTruncateToZero(Double[], Double)

subtracts the value from each value of an array If below zero, truncate to zero.

Declaration
public static double[] SubtractValueAndTruncateToZero(double[] v, double value)
Parameters
Type Name Description
Double[] v
Double value
Returns
Type Description
Double[]
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SubtractVectors(Double[], Double[])

Subtract vector v2 from vector v1.

Declaration
public static double[] SubtractVectors(double[] v1, double[] v2)
Parameters
Type Name Description
Double[] v1
Double[] v2
Returns
Type Description
Double[]
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Sum(Double[])

Declaration
public static double Sum(double[] data)
Parameters
Type Name Description
Double[] data
Returns
Type Description
Double
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Sum(Int32[])

Declaration
public static int Sum(int[] data)
Parameters
Type Name Description
Int32[] data
Returns
Type Description
Int32
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SumColumn(Int32[,], Int32)

Declaration
public static int SumColumn(int[, ] m, int colID)
Parameters
Type Name Description
Int32[,] m
Int32 colID
Returns
Type Description
Int32
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SumMinusDifference(Double[], Double[])

Declaration
public static double[] SumMinusDifference(double[] lowerArray, double[] upperArray)
Parameters
Type Name Description
Double[] lowerArray
Double[] upperArray
Returns
Type Description
Double[]
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TEST_FilterMovingAverage()

Declaration
public static void TEST_FilterMovingAverage()
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Threshold(Double[,], Double)

Returns binary matrix with values set = 1 if they exceed the threshold else set = 0.

Declaration
public static double[, ] Threshold(double[, ] matrix, double threshold)
Parameters
Type Name Description
Double[,] matrix
Double threshold
Returns
Type Description
Double[,]
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Time_ConvertDateString2DateTime(String)

Assume string has format YYYYMMDD_hhmmss*.

Declaration
public static DateTime Time_ConvertDateString2DateTime(string dateString)
Parameters
Type Name Description
String dateString
Returns
Type Description
DateTime
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Time_ConvertSecs2Mins(Double)

Declaration
public static string Time_ConvertSecs2Mins(double seconds)
Parameters
Type Name Description
Double seconds
Returns
Type Description
String
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TwoOfThree(Double[,], Double[,], Double[,])

Declaration
public static double[, ] TwoOfThree(double[, ] m1, double[, ] m2, double[, ] m3)
Parameters
Type Name Description
Double[,] m1
Double[,] m2
Double[,] m3
Returns
Type Description
Double[,]
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TypeOfArray(String[])

Declaration
public static Type TypeOfArray(string[] array)
Parameters
Type Name Description
String[] array
Returns
Type Description
Type
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ValueInList(Int32, Int32[])

Declaration
public static bool ValueInList(int value, int[] data)
Parameters
Type Name Description
Int32 value
Int32[] data
Returns
Type Description
Boolean
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Vector_NormLength(Double[])

Declaration
public static double[] Vector_NormLength(double[] v)
Parameters
Type Name Description
Double[] v
Returns
Type Description
Double[]
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Vector_NormRange(Double[])

returns the vector normalised for min and max values.

Declaration
public static double[] Vector_NormRange(double[] v)
Parameters
Type Name Description
Double[] v
Returns
Type Description
Double[]
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Vector2Zscores(Double[])

shift values by their mean.

Declaration
public static double[] Vector2Zscores(double[] V)
Parameters
Type Name Description
Double[] V
Returns
Type Description
Double[]
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VectorDoubleLengthByAverageInterpolation(Double[])

reduces length of the passed vector by combining consecutive values into an average.

Declaration
public static double[] VectorDoubleLengthByAverageInterpolation(double[] v)
Parameters
Type Name Description
Double[] v

the vector.
Returns
Type Description
Double[]

the reduced vector.
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VectorEuclidianLength(Double[])

returns the euclidian length of vector.

Declaration
public static double VectorEuclidianLength(double[] v)
Parameters
Type Name Description
Double[] v
Returns
Type Description
Double
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VectorReduceLength(Double[], Int32)

reduces length of the passed vector by combining consecutive values into an average.

Declaration
public static double[] VectorReduceLength(double[] v, int factor)
Parameters
Type Name Description
Double[] v

the vector.
Int32 factor

reduction factor.
Returns
Type Description
Double[]

the reduced vector.
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WhichSideOfCentre(Double[], Double, Int32, Int32)

Given an array of monotonically increasing or decreasing values and a reference value, determine whether the ref value lies above or below the index halfway between the passed lower and upper indices. This method is recursive. It determines the index of the array whose value is closest to the ref value.

Declaration
public static int WhichSideOfCentre(double[] array, double refValue, int lowerIndex, int upperIndex)
Parameters
Type Name Description
Double[] array
Double refValue
Int32 lowerIndex
Int32 upperIndex
Returns
Type Description
Int32
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writeArray(Boolean[])

Declaration
public static void writeArray(bool[] array)
Parameters
Type Name Description
Boolean[] array
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WriteArray(Double[])

Declaration
public static void WriteArray(double[] array)
Parameters
Type Name Description
Double[] array
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writeArray(Double[], String)

Declaration
public static void writeArray(double[] array, string format)
Parameters
Type Name Description
Double[] array
String format
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writeArray(Int32[])

Declaration
public static void writeArray(int[] array)
Parameters
Type Name Description
Int32[] array
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WriteArray(String[])

Declaration
public static void WriteArray(string[] array)
Parameters
Type Name Description
String[] array
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WriteArrayAsCsvLine(Double[], String)

The format string should be as follows: "0.00" for two decimal places. For more detail on custom numeric format string, see https://docs.microsoft.com/en-us/dotnet/standard/base-types/custom-numeric-format-strings.

Declaration
public static string WriteArrayAsCsvLine(double[] array, string format)
Parameters
Type Name Description
Double[] array

an array of double.
String format

format string.
Returns
Type Description
String
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WriteArrayInLine(Double[], String)

Declaration
public static void WriteArrayInLine(double[] array, string format)
Parameters
Type Name Description
Double[] array
String format
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WriteArrayList(List<String>)

Declaration
public static void WriteArrayList(List<string> list)
Parameters
Type Name Description
List<String> list
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writeBarGraph(Double[])

this method written to display silence/noise profile of wav file. May not fit general use. Must be shifted and scaled because all values are neg.

Declaration
public static void writeBarGraph(double[] data)
Parameters
Type Name Description
Double[] data
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writeBarGraph(Int32[])

Declaration
public static void writeBarGraph(int[] data)
Parameters
Type Name Description
Int32[] data
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writeMatrix(Double[,])

Declaration
public static void writeMatrix(double[, ] matrix)
Parameters
Type Name Description
Double[,] matrix
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writeMatrix(Double[,], String)

Declaration
public static void writeMatrix(double[, ] matrix, string format)
Parameters
Type Name Description
Double[,] matrix
String format
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WriteMatrix(Int32[,])

Declaration
public static void WriteMatrix(int[, ] matrix)
Parameters
Type Name Description
Int32[,] matrix
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writeMatrix2File(Double[,], String)

Declaration
public static void writeMatrix2File(double[, ] matrix, string fPath)
Parameters
Type Name Description
Double[,] matrix
String fPath
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WriteMinMaxOfArray(Double[])

Declaration
public static void WriteMinMaxOfArray(double[] data)
Parameters
Type Name Description
Double[] data
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WriteMinMaxOfArray(String, Double[])

Declaration
public static void WriteMinMaxOfArray(string arrayname, double[] data)
Parameters
Type Name Description
String arrayname
Double[] data
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WriteMinMaxOfFeatures(Double[,])

Declaration
public static void WriteMinMaxOfFeatures(double[, ] m)
Parameters
Type Name Description
Double[,] m
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ZeroCrossings(Double[])

counts the zero crossings in a signal.

Declaration
public static int ZeroCrossings(double[] signal)
Parameters
Type Name Description
Double[] signal
Returns
Type Description
Int32
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ZeroDippings(Double[])

counts the times signal drops from above to below zero.

Declaration
public static int ZeroDippings(double[] signal)
Parameters
Type Name Description
Double[] signal
Returns
Type Description
Int32
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ZeroRisings(Double[])

counts the times signal rises from below to above zero.

Declaration
public static int ZeroRisings(double[] signal)
Parameters
Type Name Description
Double[] signal
Returns
Type Description
Int32

Extension Methods