Modified Gram-Schmidt Algorithm Using Equivalent Wiener-Hopf Equation 


Vol. 33,  No. 7, pp. 562-568, Jul.  2008


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  Abstract

This paper proposes the scheme which obtain the coefficients of TDL filter and two normalization algorithms among methods which get solution of equivalent Wiener-Hopf Equation in Gram-Schmidt algorithm. Compared to the conventional NLMS algorithm, normalizes with sum of power of inputs, the presented algorithms normalize using sums of eigenvalues. Using computer simulation, we perform an system identification in an unstable environment where two poles are located in near position outside unit circle. Consequently, the proposed algorithms get the coefficients of TDL filter in Gram-Schmidt algorithm recursively and show better convergence performance than conventional NLMS algorithm.

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  Cite this article

[IEEE Style]

B. Ahn, J. Hwang, J. Cho, "Modified Gram-Schmidt Algorithm Using Equivalent Wiener-Hopf Equation," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 7, pp. 562-568, 2008. DOI: .

[ACM Style]

Bong-Man Ahn, JeeWon Hwang, and Juphil Cho. 2008. Modified Gram-Schmidt Algorithm Using Equivalent Wiener-Hopf Equation. The Journal of Korean Institute of Communications and Information Sciences, 33, 7, (2008), 562-568. DOI: .

[KICS Style]

Bong-Man Ahn, JeeWon Hwang, Juphil Cho, "Modified Gram-Schmidt Algorithm Using Equivalent Wiener-Hopf Equation," The Journal of Korean Institute of Communications and Information Sciences, vol. 33, no. 7, pp. 562-568, 7. 2008.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880