Class LdSpectrogramTStatistic

Inheritance
Object
LdSpectrogramTStatistic
Inherited Members
Namespace: AudioAnalysisTools.LongDurationSpectrograms
Assembly: AudioAnalysisTools.dll
Syntax
public static class LdSpectrogramTStatistic

Fields

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T_STAT_THRESHOLD

Declaration
public const double T_STAT_THRESHOLD = 3.29
Field Value
Type Description
Double

Methods

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DrawDifferenceSpectrogramDerivedFromSingleTStatistic(String, LDSpectrogramRGB, LDSpectrogramRGB, Double, Double)

Declaration
public static Image<Rgb24> DrawDifferenceSpectrogramDerivedFromSingleTStatistic(string key, LDSpectrogramRGB cs1, LDSpectrogramRGB cs2, double tStatThreshold, double colourGain)
Parameters
Type Name Description
String key
LDSpectrogramRGB cs1
LDSpectrogramRGB cs2
Double tStatThreshold
Double colourGain
Returns
Type Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>
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DrawDifferenceSpectrogramDerivedFromSingleTStatistic(String, Double[,], Double[,], Double[,], Double, Double)

Declaration
public static Image<Rgb24> DrawDifferenceSpectrogramDerivedFromSingleTStatistic(string key, double[, ] m1, double[, ] m2, double[, ] tStatM, double tStatThreshold, double colourGain)
Parameters
Type Name Description
String key
Double[,] m1
Double[,] m2
Double[,] tStatM
Double tStatThreshold
Double colourGain
Returns
Type Description
SixLabors.ImageSharp.Image<SixLabors.ImageSharp.PixelFormats.Rgb24>
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DrawTStatisticSpectrogram(Double[,])

double tStatThreshold = 1.645; // 0.05% confidence @ df=infinity double[] table_df_inf = { 0.25, 0.51, 0.67, 0.85, 1.05, 1.282, 1.645, 1.96, 2.326, 2.576, 3.09, 3.291 }; double[] table_df_15 = { 0.26, 0.53, 0.69, 0.87, 1.07, 1.341, 1.753, 2.13, 2.602, 2.947, 3.73, 4.073 }; double[] alpha = { 0.40, 0.30, 0.25, 0.20, 0.15, 0.10, 0.05, 0.025, 0.01, 0.005, 0.001, 0.0005 }.

Declaration
public static Image DrawTStatisticSpectrogram(double[, ] tStatMatrix)
Parameters
Type Name Description
Double[,] tStatMatrix
Returns
Type Description
SixLabors.ImageSharp.Image
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DrawTStatisticSpectrogramsOfMultipleIndices(LDSpectrogramRGB, LDSpectrogramRGB, Double, Double)

Declaration
public static Image DrawTStatisticSpectrogramsOfMultipleIndices(LDSpectrogramRGB cs1, LDSpectrogramRGB cs2, double tStatThreshold, double colourGain)
Parameters
Type Name Description
LDSpectrogramRGB cs1
LDSpectrogramRGB cs2
Double tStatThreshold
Double colourGain
Returns
Type Description
SixLabors.ImageSharp.Image
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DrawTStatisticSpectrogramsOfSingleIndex(String, LDSpectrogramRGB, LDSpectrogramRGB, Double)

Declaration
public static Image DrawTStatisticSpectrogramsOfSingleIndex(string key, LDSpectrogramRGB cs1, LDSpectrogramRGB cs2, double tStatThreshold)
Parameters
Type Name Description
String key
LDSpectrogramRGB cs1
LDSpectrogramRGB cs2
Double tStatThreshold
Returns
Type Description
SixLabors.ImageSharp.Image
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DrawTStatisticThresholdedDifferenceSpectrograms(Config)

Declaration
public static void DrawTStatisticThresholdedDifferenceSpectrograms(Config configuration)
Parameters
Type Name Description
Config configuration
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DrawTStatisticThresholdedDifferenceSpectrograms(DirectoryInfo, FileInfo, FileInfo, FileInfo, FileInfo, DirectoryInfo)

This method compares the acoustic indices derived from two different long duration recordings of the same length. It takes as input six csv files of acoustic indices in spectrogram columns, three csv files for each of the original recordings to be compared. The method produces four spectrogram image files:

  1. A triple image. Top: The spectrogram for index 1, recording 1. Middle: The spectrogram for index 1, recording 2. Bottom: A t-statistic thresholded difference spectrogram for INDEX 1 (derived from recordings 1 and 2).
  2. A triple image. Top: The spectrogram for index 2, recording 1. Middle: The spectrogram for index 2, recording 2. Bottom: A t-statistic thresholded difference spectrogram for INDEX 2 (derived from recordings 1 and 2).
  3. A triple image. Top: The spectrogram for index 3, recording 1. Middle: The spectrogram for index 3, recording 2. Bottom: A t-statistic thresholded difference spectrogram for INDEX 3 (derived from recordings 1 and 2).
  4. A double image. Top: A t-statistic thresholded difference spectrogram (t-statistic is positive). Bottom: A t-statistic thresholded difference spectrogram (t-statistic is negative).
Declaration
public static void DrawTStatisticThresholdedDifferenceSpectrograms(DirectoryInfo ipdir, FileInfo ipFileName1, FileInfo ipSdFileName1, FileInfo ipFileName2, FileInfo ipSdFileName2, DirectoryInfo opdir)
Parameters
Type Name Description
DirectoryInfo ipdir
FileInfo ipFileName1
FileInfo ipSdFileName1
FileInfo ipFileName2
FileInfo ipSdFileName2
DirectoryInfo opdir
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GetDifferenceSpectrogramDerivedFromSingleTStatistic(String, LDSpectrogramRGB, LDSpectrogramRGB, Double)

Declaration
public static double[, ] GetDifferenceSpectrogramDerivedFromSingleTStatistic(string key, LDSpectrogramRGB cs1, LDSpectrogramRGB cs2, double tStatThreshold)
Parameters
Type Name Description
String key
LDSpectrogramRGB cs1
LDSpectrogramRGB cs2
Double tStatThreshold
Returns
Type Description
Double[,]
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GetTStatisticMatrix(Double[,], Double[,], Int32, Double[,], Double[,], Int32)

Declaration
public static double[, ] GetTStatisticMatrix(double[, ] m1Av, double[, ] m1Sd, int n1, double[, ] m2Av, double[, ] m2Sd, int n2)
Parameters
Type Name Description
Double[,] m1Av
Double[,] m1Sd
Int32 n1
Double[,] m2Av
Double[,] m2Sd
Int32 n2
Returns
Type Description
Double[,]
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GetTStatisticMatrix(String, LDSpectrogramRGB, LDSpectrogramRGB)

Declaration
public static double[, ] GetTStatisticMatrix(string key, LDSpectrogramRGB cs1, LDSpectrogramRGB cs2)
Parameters
Type Name Description
String key
LDSpectrogramRGB cs1
LDSpectrogramRGB cs2
Returns
Type Description
Double[,]