Package matchedTemplateClassifer

Class MatchedTemplateParams

java.lang.Object

matchedTemplateClassifer.MatchedTemplateParams

All Implemented Interfaces:

Serializable, Cloneable, ManagedParameters

public class MatchedTemplateParams
extends Object
implements Serializable, Cloneable, ManagedParameters

Matched template classifier parameters.

Author:

Jamie Macaulay

See Also:

• Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
int	channelClassification	Integer flag for how to perform channel classification.
ArrayList<MTClassifier>	classifiers	The MT classifiers.
int	dataSourceIndex	The index of the data source.
String	dataSourceName	The source data block
boolean	enableFFTFilter	Enable filtering of data before classificatiom
FFTFilterParams	fftFilterParams	The FFT filter params to use.
double	lengthdB	dB drop in waveform for peak search.
int	normalisationType	The normalisation type to use.
static final int	NORMALIZATION_NONE	Do not normalise
static final int	NORMALIZATION_PEAK	Peak normalisation
static final int	NORMALIZATION_RMS	RMS normalisation
SymbolData	pamSymbol	Symbol data for the classifier.
boolean	peakSearch	True to search for for wave peak and sample around it.
int	peakSmoothing	The amount of smoothing to do when searching for a click peak.
int	restrictedBins	The number of bins to sample around.
byte	type	The type to set the click to.

Constructor Summary

Constructors

Constructor	Description
MatchedTemplateParams()

Method Summary

Modifier and Type	Method	Description
MatchedTemplateParams	clone()
PamParameterSet	getParameterSet()	Get a set of data that describes all of the parameters in a class

Methods inherited from class java.lang.Object

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

Field Details

NORMALIZATION_NONE

public static final int NORMALIZATION_NONE

Do not normalise

See Also:

• Constant Field Values

NORMALIZATION_PEAK

public static final int NORMALIZATION_PEAK

Peak normalisation

See Also:

• Constant Field Values

NORMALIZATION_RMS

public static final int NORMALIZATION_RMS

RMS normalisation

See Also:

• Constant Field Values

pamSymbol

public SymbolData pamSymbol

Symbol data for the classifier.

dataSourceName

public String dataSourceName

The source data block

dataSourceIndex

public int dataSourceIndex

The index of the data source.

type

public byte type

The type to set the click to.

classifiers

public ArrayList<MTClassifier> classifiers

The MT classifiers. Each has two templates; a match template and reject template

enableFFTFilter

public boolean enableFFTFilter

Enable filtering of data before classificatiom

fftFilterParams

public FFTFilterParams fftFilterParams

The FFT filter params to use.

channelClassification

public int channelClassification

Integer flag for how to perform channel classification. 0) Require positive identification on all channels individually 1) Only one channel requires classiifciation classification, 2) Use the mean of the channels.

peakSmoothing

public int peakSmoothing

The amount of smoothing to do when searching for a click peak.

restrictedBins

public int restrictedBins

The number of bins to sample around.

peakSearch

public boolean peakSearch

True to search for for wave peak and sample around it.

lengthdB

public double lengthdB

dB drop in waveform for peak search.

normalisationType

public int normalisationType

The normalisation type to use.

Constructor Details

MatchedTemplateParams

public MatchedTemplateParams()

Method Details

clone

public MatchedTemplateParams clone()

getParameterSet

public PamParameterSet getParameterSet()

Description copied from interface: ManagedParameters

Get a set of data that describes all of the parameters in a class

Specified by:

getParameterSet in interface ManagedParameters

Returns:

description of the parameters in a class.