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Nonlinear Effects of the LMS Adaptive Predictor for Chirped Input Signals

<p/> <p>This paper investigates the nonlinear effects of the Least Mean Square (LMS) adaptive predictor. Traditional analysis of the adaptive filter ignores the statistical dependence among successive tap-input vectors and bounds the performance of the adaptive filter by that of the finite-length Wi...

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Detalles Bibliográficos
Principais autores: Han Jun, Zeidler James R, Ku Walter H
Formato: Artigo
Idioma:Inglês
Publicado: SpringerOpen 2002-01-01
Series:EURASIP Journal on Advances in Signal Processing
Assuntos:
Acceso en liña:http://dx.doi.org/10.1155/S1110865702000434
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