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Nonlinear quantization effects in the frequency domain complex
scalar LMS adaptive algorithm  Sign In   Formats Non-Member
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Sherwood, D. ; Rockwell International, Anaheim, CA ; Bershad,
N.J.  Nonlinear quantization effects in the frequency domain
complex scalar LMS adaptive algorithm are analyzed by using
conditional expectations. The probability density function of
the quantizer input, conditioned on the weight, is derived. The
density is applied to finding the conditional characteristic
function and the Mth conditional moment at the quantizer output.
The first and second conditional moments of the quantizer output
are used to derive difference equations that approximate the
dynamical behavior of the first and second weight moments. These
difference equati