Improvement in convergence speed and stability of Least Mean Square and Normalized Least Mean Square algorithm

Author

Sharma, Divya ; Kaur, Rashpinder

Author_Institution

Chitkara Univ., Rajpura, India

fYear

2015

fDate

11-13 March 2015

Firstpage

1496

Lastpage

1500

Abstract

This paper presents instigation of Least Mean Square and Normalized Least Mean Square algorithm on infinite impulse response filter using adaptive filter toolkit of LabVIEW software. User interface is designed using LabVIEW to obtain the learning curves for adaptive algorithms. The final results are comparing the performance of the least mean square algorithm with normalized least mean square algorithm. The complete performance of the designed system in terms of stability and convergence rate is observed. The standard least mean square algorithm possesses good speed of convergence as compared to the normalized least mean square algorithm.

Keywords

IIR filters; adaptive filters; convergence of numerical methods; least mean squares methods; user interfaces; virtual instrumentation; LabVIEW software; adaptive algorithms; adaptive filter toolkit; convergence rate; convergence speed improvement; infinite impulse response filter; learning curves; normalized least mean square algorithm; stability improvement; standard least mean square algorithm; user interface; Adaptive filters; Algorithm design and analysis; Convergence; Finite impulse response filters; IIR filters; Least squares approximations; Signal processing algorithms; Adaptive IIR Filter; Digital Signal Processing; FIR Filter; LMS Algorithm; LabVIEW; NLMS Algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on

Conference_Location

New Delhi

Print_ISBN

978-9-3805-4415-1

Type

conf

Filename

7100497