Nonlinear Effects of the LMS Adaptive Predictor for Chirped Input Signals

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 fini...

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Bibliographic Details
Main Authors: Han Jun, Zeidler James R, Ku Walter H
Format: Article
Language:English
Published: SpringerOpen 2002-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
adaptive filter
linear prediction
least mean square
recursive least square
tracking
autoregressive model
Online Access:http://dx.doi.org/10.1155/S1110865702000434

Internet

http://dx.doi.org/10.1155/S1110865702000434

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