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