edu.gtts.sautrela.sp
Class FeatureNormalization

java.lang.Object
  edu.gtts.sautrela.engine.AbstractDataProcessor
      edu.gtts.sautrela.sp.FeatureNormalization

All Implemented Interfaces:

DataProcessor, java.beans.BeanInfo, java.io.Serializable

public class FeatureNormalization
extends AbstractDataProcessor

A DataProcessor that assures 0 mean (and optionally 1 variance) of input. Applied to cepstral coefficients, it is equivalent to Cepstral Mean Normalization (CMN).

See Also:

Serialized Form

Field Summary

static boolean

DEFAULT_VARIANCETOONE default flag for varianceToOne = false

Fields inherited from interface java.beans.BeanInfo

ICON_COLOR_16x16, ICON_COLOR_32x32, ICON_MONO_16x16, ICON_MONO_32x32

Constructor Summary

FeatureNormalization()
Creates a new CepstralNormalization

Method Summary

void	editBeanInfo(java.beans.BeanInfo info)
boolean	isVarianceToOne() Getter for property varianceToOne.
static void	main(java.lang.String[] args)
void	process(Buffer in, Buffer out) Processes the input Data.
void	setVarianceToOne(boolean varianceToOne) Setter for property varianceToOne.

Methods inherited from class edu.gtts.sautrela.engine.AbstractDataProcessor

getAdditionalBeanInfo, getBeanDescriptor, getDefaultEventIndex, getDefaultPropertyIndex, getEventSetDescriptors, getIcon, getMethodDescriptors, getName, getPropertyDescriptors, toString

Methods inherited from class java.lang.Object

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

Field Detail

DEFAULT_VARIANCETOONE

public static final boolean DEFAULT_VARIANCETOONE

default flag for varianceToOne = false

See Also:

Constant Field Values

Constructor Detail

FeatureNormalization

public FeatureNormalization()

Creates a new CepstralNormalization

Method Detail

isVarianceToOne

public boolean isVarianceToOne()

Getter for property varianceToOne.

Returns:

Value of property varianceToOne.

setVarianceToOne

public void setVarianceToOne(boolean varianceToOne)

Setter for property varianceToOne.

Parameters:

varianceToOne - If true, data is divided by the standard deviation of the stream.

process

public void process(Buffer in,
                    Buffer out)
             throws DataProcessorException

Processes the input Data. Input data is treated as multidimensional data and therefore all processed vectors MUST have the same length.

Parameters:

in - Input Buffer

out - Output Buffer

Throws:

DataProcessorException

editBeanInfo

public void editBeanInfo(java.beans.BeanInfo info)

Overrides:

editBeanInfo in class AbstractDataProcessor

main

public static void main(java.lang.String[] args)
                 throws java.lang.Exception

Throws:

java.lang.Exception