On the Signal Power Normalization Approach to the Escalator Adaptive Filter Algorithms 


Vol. 31,  No. 8, pp. 801-805, Aug.  2006


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  Abstract

A normalization approach to coefficient adaptation in the escalator(ESC) filter structure that conventionally employs least mean square(LMS) algorithm is introduced. Using Taylor's expansion of the local error signal, a normalized form of the ESC-LMS algorithm is derived. Compared with the computational complexity of the conventional ESC-LMS algorithm employs input power estimation for time-varying convergence coefficient using a single-pole low-pass filter, the computational complexity of the proposed method can be reduced by 50% without performance degradation.

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  Cite this article

[IEEE Style]

N. Kim, "On the Signal Power Normalization Approach to the Escalator Adaptive Filter Algorithms," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 8, pp. 801-805, 2006. DOI: .

[ACM Style]

Namyong Kim. 2006. On the Signal Power Normalization Approach to the Escalator Adaptive Filter Algorithms. The Journal of Korean Institute of Communications and Information Sciences, 31, 8, (2006), 801-805. DOI: .

[KICS Style]

Namyong Kim, "On the Signal Power Normalization Approach to the Escalator Adaptive Filter Algorithms," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 8, pp. 801-805, 8. 2006.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880