wavelets

DWT filter bank time-domain wavelets

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Syntax

psi = wavelets(fb)
[psi,t] = wavelets(fb)

Description

psi = wavelets(fb) returns the time-domain and centered wavelets corresponding to the wavelet passband filters in the discrete wavelet transform (DWT) filter bank fb.

example

[psi,t] = wavelets(fb) returns the sampling instants t.

Examples

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Open Live Script

Create a seven-level DWT filter bank with a signal length of 1000 samples, using the Daubechies db2 wavelet and a sampling frequency of 1 kHz.

wv = "db4";
len = 1000;
lev = 7;
Fs = 1e3;
fb = dwtfilterbank('Wavelet',wv,'SignalLength',len,'Level',lev,'SamplingFrequency',Fs);

Plot the time-domain and centered wavelets corresponding to the wavelet bandpass filters.

[psi,t] = wavelets(fb);
plot(t,psi')
grid on
title('Time-domain Wavelets')

Plot the finest scale time-domain wavelet and the one-sided magnitude frequency response of the corresponding wavelet bandpass filter.

sc = 1;
[psidft,f] = freqz(fb);
subplot(2,1,1)
plot(t,psi(sc,:))
grid on
xlabel('Time (sec)')
ylabel('Magnitude')
title(['Level ',num2str(sc),' Time-Domain Wavelet'])
subplot(2,1,2)
plot(f(len/2:end),abs(psidft(sc,len/2:end)))
grid on
xlabel('Hz')
ylabel('Magnitude')
title('Magnitude Frequency Response')

Input Arguments

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Discrete wavelet transform (DWT) filter bank, specified as a dwtfilterbank object.

Output Arguments

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Time-centered wavelets corresponding to the wavelet passband filters, returned as an L-by-N matrix, where L is the filter bank Level and N is the SignalLength. The wavelets are ordered in psi from the finest scale resolution to the coarsest scale resolution.

Sampling instants, returned as a real-valued vector t of length N, where N is the filter bank SignalLength. Sampling instants lie in the interval [− ½ N DT,  ½ N DT), where DT is the filter bank sampling period (reciprocal of the filter bank sampling frequency).

See Also

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Introduced in R2018a

Wavelet Toolbox Documentation

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