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
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