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errmean

Mean of quantization error

Description

example

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

Note

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

Examples

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Find the mean of the quantization error for the quantizer object q.

q = quantizer;
m = errmean(q)
m = -1.5259e-05

Compare this result to 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 = -1.5028e-05

Input Arguments

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Input quantizer object, specified as a quantizer object.

Version History

Introduced in R2008a

See Also

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