Towards optimal implementation of a class of quadrature mirror filter using genetic algorithms

Author

Baicher, Gurvinder S.

Author_Institution

Bus. Sch., Dept. of Eng., Univ. of Wales, Newport, Newport, UK

fYear

2010

fDate

23-26 Sept. 2010

Firstpage

1663

Lastpage

1668

Abstract

This paper considers theoretical issues regarding reconstruction errors and conditions for perfect reconstruction (PR) of the input signal for a 2-channel multirate quadrature mirror filter (QMF) bank. The main emphasis is on the application of genetic algorithms in the optimisation process of a new design technique for a perfect reconstruction QMF bank using infinite impulse response (IIR) filters. This design is based on using a transformation of variables technique. The genetic algorithm (GA) optimisation is used for the initial design of the QMF bank and for the IIR filters using finite word length (FWL) coefficients. The optimised results are then explored to be applied towards a real time digital signal processing implementation.

Keywords

IIR filters; genetic algorithms; quadrature mirror filters; signal processing; signal reconstruction; 2-channel multirate quadrature mirror filter bank; IIR filters; digital signal processing implementation; finite word length; genetic algorithm; infinite impulse response filters; input signal; optimisation process; perfect reconstruction; perfect reconstruction QMF bank; quadrature mirror filter; reconstruction error; variables technique transformation; IIR filters; Optimization; genetic algorithms; multirate filter bank; quadrature mirror filter bank;

fLanguage

English

Publisher

ieee

Conference_Titel

Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-6437-1

Type

conf

DOI

10.1109/BICTA.2010.5645252

Filename

5645252