How to normalize a signal to zero mean and unit variance

Question

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

User · Answer

You can determine the mean of the signal, and just subtract that value from all the entries. That will give you a zero mean result.

To get unit variance, determine the standard deviation of the signal, and divide all entries by that value.

User · Answer

It seems like you are essentially looking into computing the z-score or standard score of your data  which is calculated through the formula  z    x-mean x   std x   This should work      Original data  Normal with mean 1 and standard deviation 2  x   1   2 randn 100 1   mean x  var x  std x      Normalized data with mean 0 and variance 1 z    x-mean x   std x   mean z  var z  std z

User · Answer

If you have the stats toolbox  then you can compute  Z   zscore S

User · Answer

To avoid division by zero   function x   normalize x  eps        Normalize vector  x   zero mean  unit variance         default values     if   exist  eps    var            eps   1e-6      end      mu   mean x           sigma   std x          if sigma  lt  eps         sigma   1      end      x    x - mu    sigma  end

User · Answer

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

[matlab] How to normalize a signal to zero mean and unit variance?

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