DocumentCode
2046210
Title
Subband adaptive filter algorithm based on normalized least mean fourth criterion
Author
Jae Jin Jeong ; Kyuhwan Kim ; Sang Woo Kim
Author_Institution
Dept. of Electr. Eng., Pohang Univ. of Sci. & Technol. (POSTECH), Pohang, South Korea
fYear
2012
fDate
12-14 Dec. 2012
Firstpage
1
Lastpage
3
Abstract
A subband adaptive filter normalized least mean fourth criterion algorithm is proposed in which the fourth-order moments of subband error signals are minimized as cost functions. Simulation results verify that the proposed algorithm has a higher convergence rate than a conventional normalized subband adaptive filter algorithm in a non-Gaussian noise environment and for colored input signals.
Keywords
adaptive filters; least mean squares methods; method of moments; colored input signals; cost functions; fourth-order moments; non-Gaussian noise environment; normalized least mean fourth criterion; subband adaptive filter algorithm; subband error signals;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communication Systems (ICSPCS), 2012 6th International Conference on
Conference_Location
Gold Coast, QLD
Print_ISBN
978-1-4673-2392-5
Electronic_ISBN
978-1-4673-2391-8
Type
conf
DOI
10.1109/ICSPCS.2012.6508012
Filename
6508012
Link To Document