International Journal of Scientific Engineering and Technology

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Implementation of Recursive Least Squares (RLS) Adaptive Filter for Noise Cancellation


Affiliations
1 Department of Electronics and Communication, Al-Falah School of Engineering & Technology, Faridabad, Haryana, India
 

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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  • Implementation of Recursive Least Squares (RLS) Adaptive Filter for Noise Cancellation

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Authors

Shadab Ahmad
Department of Electronics and Communication, Al-Falah School of Engineering & Technology, Faridabad, Haryana, India
Tazeem Ahmad
Department of Electronics and Communication, Al-Falah School of Engineering & Technology, Faridabad, Haryana, India

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).