marytts.signalproc.filter

Class RecursiveFilter.Processor

java.lang.Object

marytts.signalproc.filter.RecursiveFilter.Processor

All Implemented Interfaces:

InlineDataProcessor

Enclosing class:

RecursiveFilter

public static class RecursiveFilter.Processor
extends Object
implements InlineDataProcessor

Field Summary

Fields

Modifier and Type	Field and Description
protected double[]	a The prediction coefficiednts, as in * x[n] = e[n] + a[1]*x[n-1] + a[2]*x[n-2] + ...
protected double[]	memory A memory of x[n-1]...x[n-p], when reading data in chunks.
protected int	p The prediction order, i.e.

Constructor Summary

Constructors

Constructor and Description
RecursiveFilter.Processor(double[] a)

Method Summary

Methods

Modifier and Type	Method and Description
void	applyInline(double[] data, int off, int len) Perform recursive filter processing on the data.

Methods inherited from class java.lang.Object

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

Field Detail

a

protected final double[] a

The prediction coefficiednts, as in * x[n] = e[n] + a[1]*x[n-1] + a[2]*x[n-2] + ... + a[p]*x[n-p]

p

protected final int p

The prediction order, i.e. the length of a.

memory

protected double[] memory

A memory of x[n-1]...x[n-p], when reading data in chunks.

Constructor Detail

RecursiveFilter.Processor

public RecursiveFilter.Processor(double[] a)

Method Detail

applyInline

public void applyInline(double[] data,
               int off,
               int len)

Perform recursive filter processing on the data.

Specified by:

applyInline in interface InlineDataProcessor

Parameters:

data - data to filter, e.g. a residual

off - position in data to start processing

len - number of sample points to process