How can I reconstruct the details and approximation after using 'swt' (stationary wavelet decomposition) of the wavelet toolbox?

조회 수: 1 (최근 30일)
Hi, I am currently using ‘swt’ of the wavelet toolbox to obtain a stationary wavelet decomposition of a signal. Is there a similar command to 'wrcoef' to reconstruct the details and approximation? Best. Marie

답변 (1개)

Wayne King
Wayne King 2016년 5월 5일
Hi Marie, Not directly for SWT, but there is a work around. Let me say however, that starting in R2015b there is MODWT-MODWTMRA that implements an undecimated discrete wavelet transform for arbitrary length time series and that does directly provide an equivalent for wrcoef.m
Here is the work around for SWT -- Let's assume you want D3
load wecg;
swc = swt(wecg,8,'sym4');
swctmp = zeros(size(swc));
swctmp(3,:) = swc(3,:);
D3 = iswt(swctmp,'sym4');
Now here is the MODWT-MODWTMRA way
wt = modwt(wecg); % 'sym4' is default wavelet
mra = modwtmra(wt);
d3 = mra(3,:);
Let's compare D3 and d3
I would recommend the MODWT-MODWTMRA way because that is more exactly what you want.

카테고리

Help CenterFile Exchange에서 Wavelet Toolbox에 대해 자세히 알아보기

태그

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by