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Authors
Affiliations
1 Department of Electronics and Communication, Al-Falah School of Engineering & Technology, Faridabad, Haryana, IN
Source
International Journal of Scientific Engineering and Technology, Vol 1, No 4 (2012), Pagination: 46-48
Abstract
In this paper, we will perform noise cancelling using Recursive Least Square adaptive filtering algorithm in order to clean the noisy speech signal. ASIMULINK model is developed using RLS for noise cancelation. The effects on stability, convergence, speed and computation on choosing the different parameters for RLS and adaptive filter is studied here and in the end we will decide on a system which has the best tradeoffs.
Keywords
Adaptive Noise Cancellation (ANC), Digital Signal Processor (DSP), Least Mean Square (LMS), Recursive Least Square (RLS), Normalized Least Mean Square (NLMS).
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