Title :
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
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;
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-9-3805-4415-1
