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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Bibliografske podrobnosti

Principais autores:	Han Jun, Zeidler James R, Ku Walter H
Format:	Artigo
Jezik:	Inglês
Izdano:	SpringerOpen 2002-01-01
Serija:	EURASIP Journal on Advances in Signal Processing
Teme:	adaptive filter linear prediction least mean square recursive least square tracking autoregressive model
Online dostop:	http://dx.doi.org/10.1155/S1110865702000434
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