I am new to MATLAB and I am trying to built a voice morphing system using MATLAB.
So I would like to know how to normalize a signal to zero mean and unit variance using MATLAB?
You can make the signal zero-mean by subtracting different values from each entry. For example, y={1,1,2,2,3,−9} is also a zero-mean signal. I just subtracted the sum of your series from the last element.
Normalized measures of spread are calculated by dividing a measure of spread (except the variance because it has squared units) by a measure of location. A useful example of this is the normalized standard deviation.
Normalizing the amplitude of a signal is to change the amplitude to meet a particular criterion. One type of normalization is to change the amplitude such that the signal's peak magnitude equals a specified level. Peak amplitude is a measurement based the instantaneous level of a signal.
if your signal is in the matrix X
, you make it zero-mean by removing the average:
X=X-mean(X(:));
and unit variance by dividing by the standard deviation:
X=X/std(X(:));
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