STATISTICAL SYNTHESIS OF A PP-WAVE ENHANCER
MASSACHUSETTS INST OF TECH LEXINGTON LINCOLN LAB
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A communication-theoretic rationale for a successful nonlinear processing scheme due to Shimshoni and Smith is provided by showing its resemblance to minimumrms-error estimation. The latter filtering, although optimum under certain assumptions, is rather more complicated in its implementation. As in all such filtering studies, the mean-square error is made up of bias, or signal distortion, and variance which in linear filtering is attributable only to the noise. It would be interesting to see whether the filtering developed here could be modified to allow a controlled tradeoff between these two sources of error.