public class AnWTFilterFloatLift9x7 extends AnWTFilterFloat
See the AnWTFilter class for details such as normalization, how to split oddlength signals, etc. In particular, this method assumes that the lowpass coefficient is computed first.
AnWTFilter
,
AnWTFilterFloat
Modifier and Type  Field and Description 

static float 
ALPHA
The value of the first lifting step coefficient

static float 
BETA
The value of the second lifting step coefficient

static float 
DELTA
The value of the fourth lifting step coefficient

static float 
GAMMA
The value of the third lifting step coefficient

static float 
KH
The value of the highpass subband normalization factor

static float 
KL
The value of the lowpass subband normalization factor

OPT_PREFIX
WT_FILTER_FLOAT_CONVOL, WT_FILTER_FLOAT_LIFT, WT_FILTER_INT_LIFT
Constructor and Description 

AnWTFilterFloatLift9x7() 
Modifier and Type  Method and Description 

void 
analyze_hpf(float[] inSig,
int inOff,
int inLen,
int inStep,
float[] lowSig,
int lowOff,
int lowStep,
float[] highSig,
int highOff,
int highStep)
An implementation of the analyze_hpf() method that works on int
data, for the forward 9x7 wavelet transform using the
lifting scheme.

void 
analyze_lpf(float[] inSig,
int inOff,
int inLen,
int inStep,
float[] lowSig,
int lowOff,
int lowStep,
float[] highSig,
int highOff,
int highStep)
An implementation of the analyze_lpf() method that works on int
data, for the forward 9x7 wavelet transform using the
lifting scheme.

boolean 
equals(Object obj)
Tests if the 'obj' object is the same filter as this one.

int 
getAnHighNegSupport()
Returns the negative support of the highpass analysis
filter.

int 
getAnHighPosSupport()
Returns the positive support of the highpass analysis
filter.

int 
getAnLowNegSupport()
Returns the negative support of the lowpass analysis
filter.

int 
getAnLowPosSupport()
Returns the positive support of the lowpass analysis
filter.

int 
getFilterType()
Returns the type of filter used according to the FilterTypes
interface(W9x7).

float[] 
getHPSynthesisFilter()
Returns the timereversed highpass synthesis waveform of the
filter, which is the highpass filter.

int 
getImplType()
Returns the implementation type of this filter, as defined in
this class, such as WT_FILTER_INT_LIFT, WT_FILTER_FLOAT_LIFT,
WT_FILTER_FLOAT_CONVOL.

float[] 
getLPSynthesisFilter()
Returns the timereversed lowpass synthesis waveform of the
filter, which is the lowpass filter.

int 
getSynHighNegSupport()
Returns the negative support of the highpass synthesis
filter.

int 
getSynHighPosSupport()
Returns the positive support of the highpass synthesis
filter.

int 
getSynLowNegSupport()
Returns the negative support of the lowpass synthesis
filter.

int 
getSynLowPosSupport()
Returns the positive support of the lowpass synthesis
filter.

boolean 
isReversible()
Returns the reversibility of the filter.

boolean 
isSameAsFullWT(int tailOvrlp,
int headOvrlp,
int inLen)
Returns true if the wavelet filter computes or uses the
same "inner" subband coefficient as the full frame wavelet transform,
and false otherwise.

String 
toString()
Debugging method

analyze_hpf, analyze_lpf, getDataType
getHPSynWaveForm, getLPSynWaveForm, getParameterInfo
public static final float ALPHA
public static final float BETA
public static final float GAMMA
public static final float DELTA
public static final float KL
public static final float KH
public void analyze_lpf(float[] inSig, int inOff, int inLen, int inStep, float[] lowSig, int lowOff, int lowStep, float[] highSig, int highOff, int highStep)
The coefficients of the first lifting step are [ALPHA 1 ALPHA].
The coefficients of the second lifting step are [BETA 1 BETA].
The coefficients of the third lifting step are [GAMMA 1 GAMMA].
The coefficients of the fourth lifting step are [DELTA 1 DELTA].
The lowpass and highpass subbands are normalized by respectively a factor of KL and a factor of KH
analyze_lpf
in class AnWTFilterFloat
inSig
 This is the array that contains the input
signal.inOff
 This is the index in inSig of the first sample to
filter.inLen
 This is the number of samples in the input signal
to filter.inStep
 This is the step, or interleave factor, of the
input signal samples in the inSig array.lowSig
 This is the array where the lowpass output
signal is placed.lowOff
 This is the index in lowSig of the element where
to put the first lowpass output sample.lowStep
 This is the step, or interleave factor, of the
lowpass output samples in the lowSig array.highSig
 This is the array where the highpass output
signal is placed.highOff
 This is the index in highSig of the element where
to put the first highpass output sample.highStep
 This is the step, or interleave factor, of the
highpass output samples in the highSig array.AnWTFilter.analyze_lpf(java.lang.Object, int, int, int, java.lang.Object, int, int, java.lang.Object, int, int)
public void analyze_hpf(float[] inSig, int inOff, int inLen, int inStep, float[] lowSig, int lowOff, int lowStep, float[] highSig, int highOff, int highStep)
The coefficients of the first lifting step are [ALPHA 1 ALPHA].
The coefficients of the second lifting step are [BETA 1 BETA].
The coefficients of the third lifting step are [GAMMA 1 GAMMA].
The coefficients of the fourth lifting step are [DELTA 1 DELTA].
The lowpass and highpass subbands are normalized by respectively a factor of KL and a factor of KH
analyze_hpf
in class AnWTFilterFloat
inSig
 This is the array that contains the input
signal.inOff
 This is the index in inSig of the first sample to
filter.inLen
 This is the number of samples in the input signal
to filter.inStep
 This is the step, or interleave factor, of the
input signal samples in the inSig array.lowSig
 This is the array where the lowpass output
signal is placed.lowOff
 This is the index in lowSig of the element where
to put the first lowpass output sample.lowStep
 This is the step, or interleave factor, of the
lowpass output samples in the lowSig array.highSig
 This is the array where the highpass output
signal is placed.highOff
 This is the index in highSig of the element where
to put the first highpass output sample.highStep
 This is the step, or interleave factor, of the
highpass output samples in the highSig array.AnWTFilter.analyze_hpf(java.lang.Object, int, int, int, java.lang.Object, int, int, java.lang.Object, int, int)
public int getAnLowNegSupport()
public int getAnLowPosSupport()
public int getAnHighNegSupport()
public int getAnHighPosSupport()
public int getSynLowNegSupport()
A MORE PRECISE DEFINITION IS NEEDED
public int getSynLowPosSupport()
A MORE PRECISE DEFINITION IS NEEDED
public int getSynHighNegSupport()
A MORE PRECISE DEFINITION IS NEEDED
public int getSynHighPosSupport()
A MORE PRECISE DEFINITION IS NEEDED
public float[] getLPSynthesisFilter()
The returned array may not be modified (i.e. a reference to the internal array may be returned by the implementation of this method).
getLPSynthesisFilter
in class AnWTFilter
public float[] getHPSynthesisFilter()
The returned array may not be modified (i.e. a reference to the internal array may be returned by the implementation of this method).
getHPSynthesisFilter
in class AnWTFilter
public int getImplType()
public boolean isReversible()
public boolean isSameAsFullWT(int tailOvrlp, int headOvrlp, int inLen)
The result depends on the length of the allowed overlap when compared to the overlap required by the wavelet filter. It also depends on how overlap processing is implemented in the wavelet filter.
tailOvrlp
 This is the number of samples in the input
signal before the first sample to filter that can be used for
overlap.headOvrlp
 This is the number of samples in the input
signal after the last sample to filter that can be used for
overlap.inLen
 This is the lenght of the input signal to filter.The
required number of samples in the input signal after the last sample
depends on the length of the input signal.public boolean equals(Object obj)
Currently the implementation of this method only tests if 'obj' is also of the class AnWTFilterFloatLift9x7
public int getFilterType()
getFilterType
in class AnWTFilter
FilterTypes
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