wavelte packet reconstruction
7 views (last 30 days)
Show older comments
hi,
actually i decomposed the signal with wpdec() and measured each node using wpcoef now i have to adjust those signals before reconstruction.
anybody pls help me in which manner the signal can be adjusted before reconstruction to get the better signal.
thank u in advance
0 Comments
Accepted Answer
Wayne King
on 29 Oct 2011
Yes, you can use wpthcoef(), that does what you want.
Unless you have a very specific way you want to modify them beside hard or soft thresholding. If that is the case:
Read the terminal node coefficients with
cfs = read(T,'data');
Keep the approximation coefficients
tnodes = leaves(T);
app_coefs = read(T,'data',tnodes(1));
Change cfs the way you want. Let coefs be the changed coefficients.
Put the new coefficients in a tree.
Tnew = write(T,'data',coefs);
Place the approximation coefficients back.
Tnew = write(T,'data', tnodes(1),app_coefs);
0 Comments
More Answers (7)
Wayne King
on 22 Oct 2011
Hi, You can use wpthcoef or wpdencmp for denoising. Or you can simply modify the terminal nodes of your original tree, then create a new tree and use write to write your new coefficients to the terminal nodes.
0 Comments
Wayne King
on 23 Oct 2011
Hi, It doesn't make sense in a wavelet packet tree to adjust each node separately because the higher levels nodes depend on the terminal nodes. It's not like a wavelet tree where you can modify just the detail coefficients.
You should decompose the signal down to whatever level you wish and just modify the terminal nodes. By definition, everything above it will be modified.
0 Comments
thangam
on 23 Oct 2011
2 Comments
Wayne King
on 23 Oct 2011
wavedec() does not give you a wavelet packet transform. That gives you a wavelet transform, so which did you do?
See Also
Categories
Find more on Signal Analysis in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!