I want to perform SVD on cell matrix. how to apply svd on bunch of matrix? or i have to apply svd on all single matrix? but I have so many matrix of different sizes. i have used cell function for that. now for apply svd please help me.
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- here is my code:
- Tw = 40 ; Ts = 20; alpha = 0.97; M = 20; C = 6; L = 22; LF = 300; HF = 3700;
- filelist1=dir('*.wav');
- n=size(filelist1);
- P=cell(n);
- for k1=1:n
- filename1=filelist1(k1).name;
- [l1,fs1]=wavread(filename1);
- l1 = l1(:,1);
- P{k1} = ...
- mfcc( l1, fs1, Tw, Ts, alpha, @hamming, [LF HF], M, C+1, L );
- %[u s v]=svd(p); %[u s v]= svd(p(1))
- end
Accepted Answer
Jan
on 23 Feb 2017
Edited: Jan
on 24 Feb 2017
Use numel instead of size, because the latter replies a vector and for k1=1:size(x) might not do what you expect.
n = numel(filelist1);
P = cell(1, n); % cell(n) is a cell(n, n)
for k1 = 1:n
...
Here you process the files in a loop already. Calculating the SVD in addition should be easy:
S = cell(1, n);
V = cell(1, n);
D = cell(1, n);
for k1 = 1:n
...
if all(isfinite(P{k1}(:)))
[S{k1}, V{k1}, D{k1}] = svd(P{k1});
else
??? What ever you want.
end
end
3 Comments
Jan
on 24 Feb 2017
@Pooja: It depends on what you want the result to be. And SVD is not defined mathematically, if the input contains NaNs or Infs. What do you want as output in these cases? See [EDITED]
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