Quantization Effects in the LMS and RLS Algorithms
Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 694)
In this section, several aspects of the finite-wordlength effects in the LMS algorithm are discussed for the cases of implementations in fixed- and floating-point arithmetics –.
KeywordsGaussian White Noise Quantization Effect Quantization Error Quantization Noise Adaptive Filter
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