A normalized LMF (XE-NLMF) algorithm with variable data-reusing

Author

Ban, Sung Jun ; Cho, Hyeonwoo ; Jeong, Jae Jin ; Kim, Sang Woo

Author_Institution

Div. of Electr. & Comput. Eng., Pohang Univ. of Sci. & Technol. (POSTECH), Pohang, South Korea

fYear

2009

fDate

8-10 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

The normalized least-mean-fourth (XE-NLMF) algorithm has a faster convergence rate and lower misalignment performance than the normalized least-mean-squares (NLMS) algorithm in sub-Gaussian noise environments. However, the XE-NLMF algorithm shows convergence performance degradation in highly correlated input signals. To overcome the problem, we propose an XE-NLMF algorithm with variable data-reusing. Through computer simulations, we confirmed that the proposed algorithm has a better convergence performance than the conventional XE-NLMF algorithm for colored input signals.

Keywords

Gaussian noise; adaptive filters; convergence of numerical methods; least mean squares methods; adaptive filtering; convergence performance degradation; normalized least mean fourth algorithm; normalized least mean squares algorithm; subGaussian noise environments; variable data reusing; Adaptive filters; Computer simulation; Convergence; Data engineering; Degradation; Equations; Error correction; Filtering algorithms; Least squares approximation; Working environment noise; Adaptive filtering; XE-NLMF algorithm; data-reusing; sub-Gaussian noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on

Conference_Location

Macau

Print_ISBN

978-1-4244-4656-8

Electronic_ISBN

978-1-4244-4657-5

Type

conf

DOI

10.1109/ICICS.2009.5397684

Filename

5397684