DocumentCode :
1989288
Title :
Analysis and performance evaluation of (ℓ1, ℓ2, ℓ4)-based adaptive filtering algorithms
Author :
Zerguine, Azzedine ; Bettayeb, Maamar
Author_Institution :
Electr. Eng. Dept., King Fahd Univ. of Pet.&Miner., Dhahran
fYear :
2007
fDate :
12-15 Feb. 2007
Firstpage :
1
Lastpage :
4
Abstract :
This work treats the performance evaluation of lscrp-based algorithms, such as lscr1, lscr2, and lscr4. Moreover, a variable weight mixed-norm lscr2-lscr4 algorithm is also included in this study and shown to result in a better performance than each of the lscr2-and lscr4-based algorithms. The performance evaluation is carried out for noise with uniform distribution and Gaussian distribution. Detailed simulations are performed to assess the behavior of these algorithms under these noise environments.
Keywords :
Gaussian distribution; adaptive filters; Gaussian distribution; adaptive filtering algorithm; uniform distribution; Adaptive filters; Biomedical measurements; Cost function; Filtering algorithms; Gaussian distribution; Gaussian noise; Least squares approximation; Performance analysis; Signal processing algorithms; Working environment noise; Adaptive algorithms; LMS and LMF algorithms; Mixed norm algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4244-0778-1
Electronic_ISBN :
978-1-4244-1779-8
Type :
conf
DOI :
10.1109/ISSPA.2007.4555527
Filename :
4555527
Link To Document :
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