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
Akzeptierte Antwort
Jan
am 23 Feb. 2017
Bearbeitet: Jan
am 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 Kommentare
Jan
am 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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