Title :
Genetic algorithm and its application for the design of QMF banks with Canonical Signed Digit coefficients: A comparative study and new results
Author :
Samadi, P. ; Ahmadi, M.
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Windsor, Windsor, ON
Abstract :
In this paper genetic algorithm (GA) is used for designing quadrature mirror filter (QMF) banks with canonical signed digit (CSD) coefficients. The performance of genetic algorithm is investigated through a novel study on dependency of population size and number of generations to mean square error (MSE). Two optimization techniques are also compared for retaining the CSD constraints of coefficients. The first method offers a restoration operation for each loop of genetic algorithm but the second one can easily keep the CSD constraints through a new chromosome coding scheme. It is shown that for both IIR QMF bank and FIR QMF bank; the second technique yields better performance.
Keywords :
genetic algorithms; mean square error methods; quadrature mirror filters; QMF banks; canonical signed digit coefficients; genetic algorithm; mean square error; quadrature mirror filter banks; Algorithm design and analysis; Band pass filters; Channel bank filters; Filter bank; Finite impulse response filter; Genetic algorithms; IIR filters; Low pass filters; Mirrors; Signal processing;
Conference_Titel :
Circuits and Systems, 2007. NEWCAS 2007. IEEE Northeast Workshop on
Conference_Location :
Montreal, Que
Print_ISBN :
978-1-4244-1163-4
Electronic_ISBN :
978-1-4244-1164-1
DOI :
10.1109/NEWCAS.2007.4487962
