International Journal of Scientific & Technical Development - Volumes & Issues - Volume 6: Dec 2020, Issue 2

Developing an Adaptive Filter for System Recognition

Authors

Anil Kumar Verma, Kuljinder Singh Khaira

DOI Number

Keywords

CENTRE OF MASS (COM), ADAPTIVE FILTER, LMS, RLS ALGORITHM

Abstract

The purpose of this paper is to study the adaptive filters theory for the noise cancellation problem. Firstly the paper presents the theory behind the adaptive filters. Secondly it describes three most commonly adaptive filters which were also used in computer experiments, the LMS, NLMS and RLS algorithms. Furthermore, the study explains some of the applications of adaptive filters, the system identification and prediction problems. It also describes some computer experiments conducted by the author within a general problem, providing its solution by using the LMS, NLMS and the RLS algorithms and comparing the results. Moreover, the work focuses on one of the classes of application of the adaptive [ Iters: the active noise cancellation problem, presenting a general problem, the three different algorithm solutions and a comparison between them.

References

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How to cite

Journal

International Journal of Scientific & Technical Development

ISSN

2348-4047

Periodicity

Bi-Annual