A Wavelet based Adaptive Algorithm using New Fast Running FIR Filter Structure 


Vol. 32,  No. 1, pp. 1-8, Jan.  2007


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  Abstract

LMS(Least Mean Square) algorithm using steepest descent way in adaptive signal processing requires simple equation and is used widely because of the less complexity. But eigenvalues change by width of input signals in time domain, so the rate of convergence becomes low. In this paper, we propose a new fast running FIR filter structure that improves the convergence speed of adaptive signal processing and the same performance as the existing fast wavelet transform algorithm with less computational complexity. The proposed filter structure is applied to wavelet based adaptive algorithm. Simulation results show a better performance than the existing one.

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  Cite this article

[IEEE Style]

J. Lee, J. Park, C. Lee, "A Wavelet based Adaptive Algorithm using New Fast Running FIR Filter Structure," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 1, pp. 1-8, 2007. DOI: .

[ACM Style]

Jae-Kyun Lee, Jae-Hoon Park, and Chae-Wook Lee. 2007. A Wavelet based Adaptive Algorithm using New Fast Running FIR Filter Structure. The Journal of Korean Institute of Communications and Information Sciences, 32, 1, (2007), 1-8. DOI: .

[KICS Style]

Jae-Kyun Lee, Jae-Hoon Park, Chae-Wook Lee, "A Wavelet based Adaptive Algorithm using New Fast Running FIR Filter Structure," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 1, pp. 1-8, 1. 2007.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880