Sign-Regressor Adaptive Filtering Algorithms Using Averaged Iterates and Observations

作者: C. Ion , G. Yin , V. Krishnamurthy

DOI: 10.1007/3-540-48022-6_16

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摘要: Motivated by the resurgent interest in efficient adaptive signal processing algorithms for interference suppression wireless CDMA (Code Division Multiple Access) communication networks, this paper is concerned with asymptotic properties of filtering algorithms. Our focus on improving efficiency sign-regressor procedures, which are known to have reduced complexity compared usual LMS and better performance sign-error procedures. In view recent developments iterate averaging stochastic approximation methods, that include both observation suggested. It shown such converge true parameter convergence rate optimal.

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