Package org.jamdev.jpamutils.spectrogram

Class GaussianFilter

java.lang.Object

org.jamdev.jpamutils.spectrogram.GaussianFilter

public class GaussianFilter
extends Object

Kernel smoothing for the spectrogram.

This is almost a carbon copy from PAMGuard (www.pamguard.org)

Author:

Jamie Macaulay

Constructor Summary

Constructors

Constructor	Description
GaussianFilter()

Method Summary

Modifier and Type	Method	Description
double[][]	generateKernal(double sigma)	Generate the Kernel for a sigma value
String	getDescription()
boolean	initialise(int channelMap)	Initialise the channelMap store
ComplexArray[]	runFilter(ComplexArray[] complexArray)	Run the Gaussian filter on a spectrogram.
boolean	runNoiseReduction(ComplexArray fftDataUnit)
boolean	runNoiseReduction(ComplexArray fftDataUnit, int sigma)	Run the noise reduction.
void	setKernel(double[][] kernel)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

GaussianFilter

public GaussianFilter()

Method Details

generateKernal

public double[][] generateKernal(double sigma)

Generate the Kernel for a sigma value

Parameters:

sigma -

Returns:

setKernel

public void setKernel(double[][] kernel)

runFilter

public ComplexArray[] runFilter(ComplexArray[] complexArray)

Run the Gaussian filter on a spectrogram. Convenience function. This will reset the current channel processes.

Parameters:

complexArray - - the spectrogram including the complex number.

Returns:

the complex array out.

getDescription

public String getDescription()

initialise

public boolean initialise(int channelMap)

Initialise the channelMap store

Parameters:

channelMap - - the channel map of expected input units.

Returns:

the channel map.

runNoiseReduction

public boolean runNoiseReduction(ComplexArray fftDataUnit)

runNoiseReduction

public boolean runNoiseReduction(ComplexArray fftDataUnit, int sigma)

Run the noise reduction.

Parameters:

fftDataUnit - - the FFT data unit.

sigma - - the sigma value.

Returns:

true if success.