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From: Matt J on 13 Jul 2010 09:41
"adi cohen" <kerenpur(a)yahoo.com> wrote in message <i1hodp$inp$1(a)fred.mathworks.com>...

> In order to restore it but maintain the shape of the signal as much as possible, what is the best approach?
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That really depends on what you know in advance about the signal and the process that corrupts it. Since you're considering a wiener filter, it presumably means the signal is WSS and the corruption of the signal is additive noise, also WSS.

> I thought about using a wiener filter, but cannot find a function in matlab
> that filters one-dimentional signals using the wiener algorithm
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If you have the Image Processing Toolbox, you could probably use deconvwnr(). Even if your signal is 1-dimensional, you could just pretend that it's a 1-dimensional image.
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