Adaptive noise cancellation using LMS algorithm in Monte Carlo simulation

Author

Pitchaiah, T. ; Sridevi, P.V. ; Rao, S. Koteswara

Author_Institution

Dept. of ECE, Vignan´s Found. for Sci. Technol. & Res. (VFSTR)Univ., Guntur, India

fYear

2015

fDate

26-27 Feb. 2015

Firstpage

368

Lastpage

372

Abstract

This brief presents the concept of adaptive noise cancellation using LMS algorithm. The method uses a “primary input” containing the corrupted signal and a “reference input” containing noise correlated in some unknown way with the primary noise. The reference input is adaptively filtered and subtracted from the primary input to obtain the signal estimate. Extensive Monte Carlo Simulation is carried out and the results are presented using MATLAB.

Keywords

Monte Carlo methods; adaptive signal processing; least mean squares methods; signal denoising; LMS algorithm; MATLAB; Monte Carlo simulation; adaptive noise cancellation; primary input; reference input; signal estimation; Adaptive filters; Finite impulse response filters; Least squares approximations; Noise cancellation; Signal processing algorithms; Wiener filters; Adaptive filter; Adaptive noise cancellation; LMS algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics and Communication Systems (ICECS), 2015 2nd International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4799-7224-1

Type

conf

DOI

10.1109/ECS.2015.7124926

Filename

7124926

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2823479