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Comparison of based adaptive predictive schemes for improvement of tracking randomly time-varying systems

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2 Author(s)
Jebaral, S.B. ; LS Telecoms, Campus Univ., Le Belvedere, Tunisia ; Jaidane-Saidane, M.

This paper presents a comparison between three based adaptive predictive schemes used in order to improve the tracking capability of the LMS algorithm. We identify system variations modeled by a random walk. Using a theoretical analysis and simulation results, we illustrate the contribution of coupled adaptive prediction and system identification for highly correlated stationary inputs and nonstationary (speech) inputs

Published in:

Electronics, Circuits and Systems, 1998 IEEE International Conference on  (Volume:1 )

Date of Conference:

1998