© Algorithms And Structures Of Adaptive Filtering: A Review Zerguine, A; Bettayeb, M KING FAHD UNIV PETROLEUM MINERALS, ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING; pp: ; Vol: 23 King Fahd University of Petroleum & Minerals 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. References: BARNES CW, 1985, IEEE T ACOUST SPEECH, V33, P595 BARTO AG, 1983, IEEE T SYST MAN CYB, V13, P834 BETTAYEB M, 1995, COMPUT ELECTR ENG, V21, P47 CARAYANNIS G, 1982, IEEE T ACOUST SPEECH, V30, P227 CARAYANNIS G, 1983, IEEE T ACOUST SPEECH, V31, P1394 CHAMBERS JA, 1994, ELECTRON LETT, V30, P1574 CHANG CH, 1995, SIGNAL PROCESS, V47, P145 CHEN JM, 1994, SIGNAL PROCESS, V37, P345 CIOFFI JM, 1984, IEEE T ACOUST SPEECH, V32, P304 CIOFFI JM, 1985, IEEE T ACOUST SPEECH, V33, P607 CIOFFI JM, 1986, IEEE T ACOUST SPEECH, V34, P77 CIOFFI JM, 1987, IEEE T CIRCUITS SYST, V34, P821 CLARK GA, 1981, IEEE T CIRCUITS SYST, V28, P584 COWAN CFN, 1979, ELECTRON LETT, V15, P35 Copyright: King Fahd University of Petroleum & Minerals;

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