Evaluation of Several Adaptive Algorithms for Canceling Acoustic
نویسندگان
چکیده
This paper studies several adaptive noise cancellation algorithms and their effectiveness in improving the quality of speech degraded by additive acoustic noise in mobile communications. The first part of this paper describes a personal computer system which was used to acquire test data and implement the algorithms. The algorithms studied include Least Mean Squares (LMS), Recursive Least Squares (RLS), a Fast Transversal Filters (FTF) implementation of RLS, direct solution of the normal equation, and an adaptive notch filter. The second part of this paper presents the results of a comparison of the algorithms based on various criteria. Results of applying each of the algorithms to adaptive noise cancellation in mobile environments are described and evaluated.
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