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Algorithms And Structures Of Adaptive Filtering: A Review

Zerguine, A; Bettayeb, M

KING FAHD UNIV PETROLEUM MINERALS, ARABIAN JOURNAL FOR SCIENCE

AND ENGINEERING; pp: 265-288; Vol: 23

King Fahd University of Petroleum & Minerals

http://www.kfupm.edu.sa

Summary

Adaptive filtering techniques have been successfully implemented in various

important applications such as echo cancellation, equalization, noise cancellation, and

others. The rapid growth of computer technology made the on line implementation of

adaptive filters possible and raised the interest of researchers in the development of

new adaptive filtering algorithms for more challenging situations such as strong

fading and large signal and noise distortions. In this paper, the authors present the

state of the art of adaptive filtering algorithms. Both LMS and RLS families of

algorithms are detailed. However, emphasis is also given to recently proposed least

mean fourth (LMF) and mixed norm criteria. based adaptive filtering algorithms. The

strengths and drawbacks of the above algorithms are also discussed. Simulation

results are given for some popular algorithms.

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Copyright: King Fahd University of Petroleum & Minerals;http://www.kfupm.edu.sa

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