Volume 11 - Volume 11
Design of Efficient Low Pass Infinite Impulse Response Filter Using Dynamic Regional Harmony Search Algorithm with Opposition and Local Learning and Comparison with Harmony Search Algorithm
Abstract
Aim: The study aims to design an optimal digital IIR filter for the minimization of ripples in the
frequency response of Low pass IIR filter
Methods & Materials: Dynamic Regional Harmony Search Algorithm with opposition & local learning DRHS-OLL method is used for the optimal design of efficient infinite impulse response [IIR] due to presence of the premature convergence in Harmony Search algorithm.
Results: DRHS-OLL algorithm has reduced the ripples in both passband & stop band regions of low pass IIR filter. The frequency response of the low pass filter also reached the ideal state when
compared to the Harmony Search Algorithm. There is statistical significance difference between
DRHS-OLL & HS algorithms where p<0.05 (Independent sample test). The mean gain of DRHS-OLL
is 13.5873+/-1dB which is better than the mean gain of HS i.e., 5.7433+/-1dB.
Conclusion: The performances conclude that the DRHS-OLL algorithm has better gain & reduced
ripples when compared to HS algorithm
Paper Details
PaperID: 2187
Author's Name: E. Rasi and Dr.P. Nirmala
Volume: Volume 11
Issues: Volume 11
Keywords: DRHS-OLL Algorithm HS Algorithm, Evolutionary optimization, Digital IIR Filter, Premature Convergence, Stagnation, Innovative Digital Filter, Digital Signal Processing.
Year: 2021
Month: June
Pages: 1289-1302