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imodwpt

Inverse maximal overlap discrete wavelet packet transform

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Syntax

xrec = imodwpt(coefs)
xrec = imodwpt(coefs,wname)
xrec = imodwpt(coefs,lo,hi)

Description

example

xrec = imodwpt(coefs) returns the inverse maximal overlap discrete wavelet packet transform (inverse MODWPT), in xrec. The inverse transform is for the terminal node coefficient matrix (coefs) obtained using modwpt with the default length 18 Fejér-Korovkin ('fk18') wavelet.

example

xrec = imodwpt(coefs,wname) returns the inverse MODWPT using the orthogonal filter specified by wname. This filter must be the same filter used in modwpt.

example

xrec = imodwpt(coefs,lo,hi) returns the inverse MODWPT using the orthogonal scaling filter, lo, and wavelet filter, hi.

Examples

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Open Live Script

Obtain the MODWPT of an ECG waveform and demonstrate perfect reconstruction using the inverse MODWPT.

load wecg;
wpt = modwpt(wecg);
xrec = imodwpt(wpt);
subplot(2,1,1)
plot(wecg);
title('Original ECG Waveform');
subplot(2,1,2)
plot(xrec);
title('Reconstructed ECG Waveform');

Figure contains 2 axes objects. Axes object 1 with title Original ECG Waveform contains an object of type line. Axes object 2 with title Reconstructed ECG Waveform contains an object of type line.

Find the largest absolute difference between the original signal and the reconstruction. The difference is on the order of 10-11, which demonstrates perfect reconstruction.

max(abs(wecg-xrec'))
ans = 1.7903e-11
Open Live Script

Obtain the MODWPT of Southern Oscillation Index data using the Daubechies extremal phase wavelet with two vanishing moments ('db2'). Reconstruct the signal using the inverse MODWPT.

load soi;
wsoi = modwpt(soi,'db2');
xrec = imodwpt(wsoi,'db2');
Open Live Script

Obtain the MODWPT of Southern Oscillation Index data using specified scaling and wavelets filters with the Daubechies extremal phase wavelet with two vanishing moments ('db2'). 

load soi;
[lo,hi] = wfilters('db2');
wpt = modwpt(soi,lo,hi);
xrec = imodwpt(wpt,lo,hi);

Plot the original SOI waveform and the reconstructed waveform.

subplot(2,1,1)
plot(soi)
title('Original SOI Waveform');
subplot(2,1,2)
plot(xrec)
title('Reconstructed SOI Waveform')

Figure contains 2 axes objects. Axes object 1 with title Original SOI Waveform contains an object of type line. Axes object 2 with title Reconstructed SOI Waveform contains an object of type line.

Input Arguments

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Terminal node coefficients of a wavelet packet tree, specified as a matrix. You must obtain the coefficient matrix from modwpt using the 'FullTree',false option. 'FullTree',false is the default value of modwpt.

Data Types: double

Synthesizing wavelet filter used to invert the MODWPT, specified as a character vector or string scalar. The specified wavelet must be the same wavelet as used in the analysis with modwpt.

Scaling filter, specified as an even-length real-valued vector. lo must be the same scaling filter as used in the analysis with modwpt. You cannot specify both a scaling-wavelet filter pair and a wname filter.

Wavelet filter, specified as an even-length real-valued vector. hi must be the same wavelet filter used in the analysis with modwpt. You cannot specify both a scaling-wavelet filter pair and a wname filter.

Output Arguments

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Inverse maximal overlap discrete wavelet packet transform, returned as a row vector. The inverse transform is the reconstructed version of the original signal based on the MODWPT terminal node coefficients. xrec has the same number of columns as the input coefs matrix.

References

[1] Percival, D. B., and A. T. Walden. Wavelet Methods for Time Series Analysis. Cambridge, UK: Cambridge University Press, 2000.

[2] Walden, A.T., and A. Contreras Cristan. “The phase-corrected undecimated discrete wavelet packet transform and its application to interpreting the timing of events.” Proceedings of the Royal Society of London A. Vol. 454, Issue 1976, 1998, pp. 2243-2266.

Extended Capabilities

Version History

Introduced in R2016a

See Also

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