A Study On ECLMS Using Estimated Correlation 


Vol. 27,  No. 7, pp. 651-658, Jul.  2002


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  Abstract

Although least mean square(LMS) algorithm is known to one of the most popular algorithm in adaptive signal processing because of the simplicity and the small computation, the choice of the step size reflects a tradeoff between the misadjustment and the speed of adaptation. In this paper, we present a new variable step size LMS algorithm, so-called ECLMS(Estimated correlation LMS), using the correlation between reference input and error signal of adaptive filter. The proposed algorithm updates each weight of filter by different step size at same sample time.
We applied this algorithm to adaptive multiple-notch filter. Simulation results are presented to compare the performance of the proposed algorithm with the usual LMS algorithm and another variable step algorithm.

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  Cite this article

[IEEE Style]

S. Oh, S. Kwon, C. Lee, "A Study On ECLMS Using Estimated Correlation," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 7, pp. 651-658, 2002. DOI: .

[ACM Style]

Shin-Bum Oh, Soon-Yong Kwon, and Chae-Wook Lee. 2002. A Study On ECLMS Using Estimated Correlation. The Journal of Korean Institute of Communications and Information Sciences, 27, 7, (2002), 651-658. DOI: .

[KICS Style]

Shin-Bum Oh, Soon-Yong Kwon, Chae-Wook Lee, "A Study On ECLMS Using Estimated Correlation," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 7, pp. 651-658, 7. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880