Information Loss in Deterministic Signal Processing Systems
Presents a definition of information loss for signal processing systems which is the basis of an information-theoretic systems theory
Analyzes various systems in the signal processing engineer’s toolbox: polynomials, quantizers, rectifiers, linear filters with and without quantization effects, principal components analysis, multirate systems, etc.
Highlights differences and similarities between design principles based on information-theoretic quantities and those based on energetic measures, such as the mean-squared error
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Part of the Understanding Complex Systems book series (UCS)