International Journal of Scientific Engineering and Technology
  • Year: 2012
  • Volume: 1
  • Issue: 4

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

  • Author:
  • Shadab Ahmad, Tazeem Ahmad
  • Total Page Count: 3
  • Page Number: 46 to 48

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

*Email: shadab051@gmail.com, khan_taz@yahoo.com

Online published on 4 November, 2017.

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