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Mean of quantization error


m = errmean(q)


m = errmean(q) returns the mean of a uniformly distributed random quantization error that arises from quantizing a signal by quantizer object q.


The results are not exact when the signal precision is close to the precision of the quantizer.


Find m, the mean of the quantization error for quantizer q:

q = quantizer;
m = errmean(q)
m =


Now compare m to m_est, the sample mean from a Monte Carlo experiment:

r = realmax(q);
u = 2*r*rand(1000,1)-r;  % Original signal
y = quantize(q,u);       % Quantized signal
e = y - u;               % Error
m_est = mean(e)          % Estimate of the error mean 
m_est =


See Also

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Introduced in R2008a