Uses of Class
be.hogent.tarsos.util.histogram.Histogram

Packages that use Histogram

be.hogent.tarsos.sampled.pitch	Contains internal and external pitch trackers.
be.hogent.tarsos.ui.pitch	Most of the user interface elements + publish subscribe wiring.
be.hogent.tarsos.util	Utility classes for string handling, logging, configuration, some DSP tasks.
be.hogent.tarsos.util.histogram	Histogram and histogram correlation classes.
be.hogent.tarsos.util.histogram.peaks	Peak extraction from histograms.

Uses of Histogram in be.hogent.tarsos.sampled.pitch

Methods in be.hogent.tarsos.sampled.pitch that return Histogram

static Histogram	PitchFunctions.createFrequencyTable(java.util.List<java.lang.Double> values, double classWidth, double start, double stop) Creates a frequency table.
static Histogram	PitchFunctions.readFrequencyTable(java.lang.String fileName) Reads a frequency table (histogram) from disk.

Methods in be.hogent.tarsos.sampled.pitch with parameters of type Histogram

static void	PitchFunctions.exportFrequencyTable(Histogram histogram, java.lang.String fileName)
static void	PitchFunctions.exportFrequencyTable(Histogram histogram, java.lang.String fileName, double start, double stop)

Uses of Histogram in be.hogent.tarsos.ui.pitch

Methods in be.hogent.tarsos.ui.pitch that return Histogram

Histogram	HistogramData.getFirst()
Histogram	HistogramData.getHistogram(PitchDetectionMode mode)

Constructors in be.hogent.tarsos.ui.pitch with parameters of type Histogram

HistogramLayer(javax.swing.JComponent component, Histogram histogram, ScaleChangedListener scalePublisher, java.awt.Color color)

PitchClassHistogramPanel(Histogram histogram, ScaleChangedListener scaleChangedPublisher)

Uses of Histogram in be.hogent.tarsos.util

Methods in be.hogent.tarsos.util with parameters of type Histogram

void	SimplePlot.addData(int set, Histogram histogram)
void	SimplePlot.addData(int set, Histogram histogram, int displacement)

Uses of Histogram in be.hogent.tarsos.util.histogram

Subclasses of Histogram in be.hogent.tarsos.util.histogram

class	PitchClassHistogram
class	PitchHistogram The PitchHistogram accepts values from 0 to 9600 cents or +- from 16Hz to 40000Hz: the human hearing range is completely covered. The start and stop values can be configured. Values outside the defined range are ignored!

Methods in be.hogent.tarsos.util.histogram that return Histogram

Histogram	Histogram.add(double value) Adds a value to the Histogram.
Histogram	Histogram.add(Histogram other) Calculates the sum of two histograms.
Histogram	Histogram.add(Histogram other, int offset) Calculates the sum of two histograms.
Histogram	Histogram.addToEachBin(long value) Adds a number of items to each bin.
Histogram	Histogram.baselineHistogram() Searches the minimum number of items in a bin and subtracts all bins with this value.
Histogram	Histogram.clone()
Histogram	Histogram.gaussianSmooth(double standardDeviation) Smooth the histogram using Gaussians.
Histogram	Histogram.invert() Inverts this histograms.
Histogram	Histogram.max(Histogram other) Takes the maximum of the bin value in each histogram and changes the current histogram to this maximum value.
static Histogram	Histogram.mean(java.util.List<Histogram> histograms) Calculates a histogram mean of a list of histograms.
Histogram	Histogram.multiply(double factor) Multiplies each class (bin) count with a factor.
Histogram	Histogram.normalize() Normalizes the peaks in a histogram.
Histogram	Histogram.raise(double exponent) Raises each class count to the power of exponent.
Histogram	Histogram.smooth(boolean isWeighted, int k) Computes a smoothed version of the histogram.
Histogram	Histogram.subtract(Histogram other) Subtracts two histograms.

Methods in be.hogent.tarsos.util.histogram with parameters of type Histogram

Histogram	Histogram.add(Histogram other) Calculates the sum of two histograms.
Histogram	Histogram.add(Histogram other, int offset) Calculates the sum of two histograms.
double	Histogram.correlation(Histogram otherHistogram) Return the correlation of this histogram with another one.
double	Histogram.correlation(Histogram otherHistogram, CorrelationMeasure correlationMeasure) Return the correlation of this histogram with another one.
double	HistogramCorrelation.correlation(Histogram thisHistogram, int displacement, Histogram otherHistogram) The implementation of a histogram correlation or distance measure.
double	CrossCorrelation.correlation(Histogram thisHistogam, int displacement, Histogram otherHistogram)
double	CityBlockDistance.correlation(Histogram thisHistogam, int displacement, Histogram otherHistogram)
double	EuclideanDistance.correlation(Histogram thisHistogam, int displacement, Histogram otherHistogram)
double	BhattacharyaDistance.correlation(Histogram first, int displacement, Histogram second)
double	Intersection.correlation(Histogram thisHistogram, int displacement, Histogram otherHistogram)
double	Histogram.correlationWithDisplacement(int displacement, Histogram otherHistogram)
double	Histogram.correlationWithDisplacement(int displacement, Histogram otherHistogram, CorrelationMeasure correlationMeasure)
int	Histogram.displacementForOptimalCorrelation(Histogram otherHistogram)
int	Histogram.displacementForOptimalCorrelation(Histogram otherHistogram, CorrelationMeasure correlationMeasure) Returns the number of classes the other histogram needs to be displaced to get optimal correlation with this histogram.
Histogram	Histogram.max(Histogram other) Takes the maximum of the bin value in each histogram and changes the current histogram to this maximum value.
void	Histogram.plotCorrelation(Histogram otherHistogram, CorrelationMeasure correlationMeasure, java.lang.String fileName, java.lang.String title)
void	HistogramCorrelation.plotCorrelation(Histogram thisHistogram, int displacement, Histogram otherHistogram, java.lang.String fileName, java.lang.String title) Plots two histograms and the intersection between the two.
void	CrossCorrelation.plotCorrelation(Histogram thisHistogram, int displacement, Histogram otherHistogram, java.lang.String fileName, java.lang.String title)
void	CityBlockDistance.plotCorrelation(Histogram thisHistogram, int displacement, Histogram otherHistogram, java.lang.String fileName, java.lang.String title)
void	EuclideanDistance.plotCorrelation(Histogram thisHistogram, int displacement, Histogram otherHistogram, java.lang.String fileName, java.lang.String title)
void	BhattacharyaDistance.plotCorrelation(Histogram thisHistogram, int displacement, Histogram otherHistogram, java.lang.String fileName, java.lang.String title)
void	Intersection.plotCorrelation(Histogram thisHistogram, int displacement, Histogram otherHistogram, java.lang.String fileName, java.lang.String title)
Histogram	Histogram.subtract(Histogram other) Subtracts two histograms.

Method parameters in be.hogent.tarsos.util.histogram with type arguments of type Histogram

static Histogram

Histogram.mean(java.util.List<Histogram> histograms) Calculates a histogram mean of a list of histograms.

Constructors in be.hogent.tarsos.util.histogram with parameters of type Histogram

Histogram(Histogram original)
Creates a new, empty histogram using the same parameters of the original histogram.

Uses of Histogram in be.hogent.tarsos.util.histogram.peaks

Methods in be.hogent.tarsos.util.histogram.peaks that return Histogram

static Histogram

PeakDetector.newPeakDetection(java.util.List<Peak> peaks) Create a histogram with peak information.

Methods in be.hogent.tarsos.util.histogram.peaks with parameters of type Histogram

static double	PeakDetector.calculateLocalHeightScore(Histogram histogram, int index, int windowSize) The local height score defines a measure for the height of a peak within a window.
static java.util.List<Peak>	PeakDetector.detect(Histogram histogram)
static java.util.List<Peak>	PeakDetector.detect(Histogram histogram, int windowSize, int thresholdFactor)
java.util.List<Peak>	PeakDetector.PeakDetectionStrategy.detect(Histogram histogram, int windowSize, int thresholdFactor)
static java.util.List<Peak>	PeakDetector.detectNumberOfPeaks(Histogram histogram, int numberOfPeaks) Finds the requested number of (most salient) peaks in the histogram.