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Information Journal Paper

Title

MISALIGNMENT ANALYSIS OF THE THREE-LEVEL CLIPPING-BASED LMS ADAPTIVE ALGORITHM IN SYSTEM IDENTIFICATION

Pages

  17-29

Abstract

 One of the problems associated with adaptive FIR filters in the identification of systems with long impulse responses, is their excessive computational complexity. Recently a new kind of ADAPTIVE FILTERs, based on THREE-LEVEL CLIPPING of the input signal has been presented for reduction of their computational complexity. In this paper, a theoretical analysis of the steady-state MISALIGNMENT of ADAPTIVE FILTER equipped with the LMS algorithm, based on THREE-LEVEL CLIPPING, is presented and by using it the minimum mean square error is achieved. This analysis can be a basis in the design of the above mentioned filters with appropriate clipping levels and proper step-sizes for system identification applications.

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  • Cite

    APA: Copy

    BEKRANI, M., & LOTFIZAD, M.. (2010). MISALIGNMENT ANALYSIS OF THE THREE-LEVEL CLIPPING-BASED LMS ADAPTIVE ALGORITHM IN SYSTEM IDENTIFICATION. MODARES JOURNAL OF ELECTRICAL ENGINEERING, 10(2), 17-29. SID. https://sid.ir/paper/177649/en

    Vancouver: Copy

    BEKRANI M., LOTFIZAD M.. MISALIGNMENT ANALYSIS OF THE THREE-LEVEL CLIPPING-BASED LMS ADAPTIVE ALGORITHM IN SYSTEM IDENTIFICATION. MODARES JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2010;10(2):17-29. Available from: https://sid.ir/paper/177649/en

    IEEE: Copy

    M. BEKRANI, and M. LOTFIZAD, “MISALIGNMENT ANALYSIS OF THE THREE-LEVEL CLIPPING-BASED LMS ADAPTIVE ALGORITHM IN SYSTEM IDENTIFICATION,” MODARES JOURNAL OF ELECTRICAL ENGINEERING, vol. 10, no. 2, pp. 17–29, 2010, [Online]. Available: https://sid.ir/paper/177649/en

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