DocumentCode :
2618329
Title :
Performance analysis of adaptive filters using the sign algorithm
Author :
Masry, Elias ; Bullo, Francesco
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
fYear :
1994
fDate :
27 Jun-1 Jul 1994
Firstpage :
360
Abstract :
Convergence analysis of the sign algorithm for adaptive filtering with Gaussian uncorrelated input processes is presented. Asymptotic time-averaged results for the mean-square deviation error and for the signal estimation error are established. The results hold for arbitrary step size μ>0
Keywords :
adaptive estimation; adaptive filters; adaptive signal processing; convergence of numerical methods; error analysis; filtering theory; Gaussian uncorrelated nput processes; adaptive filtering; adaptive filters; adaptive linear estimation; asymptotic time-averaged results; convergence analysis; mean-square deviation error; performance analysis; sign algorithm; signal estimation error; step size; Adaptive filters; Algorithm design and analysis; Computer errors; Convergence; Estimation; Gaussian processes; Nonlinear filters; Performance analysis; Random variables; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
Type :
conf
DOI :
10.1109/ISIT.1994.394658
Filename :
394658
Link To Document :
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