Fixed-Point Toolbox™

errmean - Mean of quantization error

Syntax

m = errmean(q)

Description

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

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

q = quantizer;
m = errmean(q)

m =

   -1.525878906250000e-005

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 =

   -1.519507450175317e-005

See Also

errpdf, errvar, quantize

eq

errorbar