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    NTHUR > College of Electrical Engineering and Computer Science > Undergraduate Program of EECS > UPEECS Journal / Magazine Articles >  Optimum designs of the LMS algorithm using two step sizes for adaptive FIR filtering

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    Title: Optimum designs of the LMS algorithm using two step sizes for adaptive FIR filtering
    Authors: Chin-Liang Wang;Rong-Yih Chen
    Teacher: 王晉良
    Date: 1992
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: Signal Processing,Volume 26, Issue 2, February 1992, Pages 197-204
    Keywords: adaptive filters
    digital filters
    least squares approximations
    Abstract: © 1992 Institute of Electrical and Electronics Engineers - A two step-size LMS algorithm, called dual LMS (DLMS) algorithm, is proposed for adaptive FIR filtering. The new algorithm operates as if two LMS algorithms are working in cooperation, where the transition threshold between the two LMS algorithms and their step sizes are optimally chosen to yield the most rapid convergence under an initial and desired mean-square error. Over the range of interest in practical applications, it is shown via analysis and numerical evaluation that the worst-case initial mean-square error can be used to estimate the optimum switching instant from the first LMS algorithm to the second one. As compared to the original LMS algorithm, the DLMS algorithm gains a great improvement in convergence performance with little increase in hardware complexity. Computer simulation is employed to show the effectiveness of the algorithm
    Appears in Collections:[Undergraduate Program of EECS] UPEECS Journal / Magazine Articles

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