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Delayed adaptive filtering based on NLMS algorithm with an error adjustment procedure

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3 Author(s)
P. Somjai ; Dept. of Telecommun. Eng, Mahanakorn Univ. of Technol., Bangkok, Thailand ; P. Chumchu ; T. Demeechai

In delayed adaptive filtering, the customary tool is the delayed least-mean-square (DLMS) algorithm. However, in the DLMS algorithm, selection of suitable step-size is always done by trial and error. This paper proposes an alternative to the DLMS algorithm which avoids this drawback. The proposed algorithm is formulated using a normalized least-mean-square (NLMS) algorithm. The customized step-size is simply unity and an error adjustment procedure is used. In addition, we modify the proposed algorithm using a quantizing method to reduce the number of multiplications and divisions per input sample (MADPS). The simulated behavior is shown to agree well with theoretical prediction

Published in:

Circuits and Systems, 1998. IEEE APCCAS 1998. The 1998 IEEE Asia-Pacific Conference on

Date of Conference:

24-27 Nov 1998