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Big Bang–Big Crunch Optimization Algorithm for Linear Phase Fir Digital Filter Design

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Author(s): Ms. Rashmi Singh Dr. H. K. Verma

Journal: International Journal of Electronics Communication and Computer Engineering
ISSN 2249-071X

Volume: 3;
Issue: 1;
Start page: 74;
Date: 2012;
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Keywords: Big Bang Big Crunch | Optimal linear phase magnitude response | Error function | MATLAB

ABSTRACT
The Big Bang–Big Crunch (BB–BC) optimization algorithm is a new optimization method that relies on the Big Bang and Big Crunch theory, one of the theories of the evolution of the universe. In this paper, a Big Bang–Big Crunch algorithm has been used here for the design of linear phase finite impulse response (FIR) filters. Here the experimented fitness function based on the mean squared error between the actual and the ideal filter response. This paper presents the plot of magnitude response of FIR filters and error graph. The BB-BC seems to be promising tool for FIR filter design especially in a dynamic environment where filter coefficients have to be adapted and fast convergence is of importance.
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