have a question regarding mean square distortion returned by MATLAB's quantiz function.
Here is my code:
dataset = rand(1,1000)*2-1; M1 = 128; qlevels1=-1+(2/M1):2/M1:1-(2/M1); codebook1 =-1+(1/M1/2):2/M1:1-(1/M1/2); [index1, quants1, dist1] = quantiz(dataset, qlevels1, codebook1); Qnoise1 = sum((dataset-quants1).^2);
My after running my program my $Qnoise1$ and $dist1$ differ by magnitude of
$Qnoise1 = 0.0374$
$dist1 = 3.7417e-05$
Am I missing something here? Should I multiply qlevels1 by length(dataset) to get correct answer?