Design of 2-D FIR filters using McClellan transformation with genetic algorithms

Author

Lu, Hung-Ching ; Tzeng, Shian-Tang

Author_Institution

Dept. of Electr. Eng., Tatung Inst. of Technol., Taipei, Taiwan

fYear

1998

fDate

4-9 May 1998

Firstpage

265

Lastpage

270

Abstract

A powerful genetic algorithm approach is proposed in order to determine the optimal coefficients of the McClellan transformation. It can be used to design any arbitrary shape transformation contours to map from 1D prototypes to 2D finite impulse response (FIR) filters very effectively. In this paper, we present design methods for 2D fan filters with arbitrary slope, elliptical filters, elliptical filters with arbitrary orientation, circular filters and diamond-shaped filters in detail. There are several numerical examples given to demonstrate the usefulness and the efficiency of this proposed method

Keywords

FIR filters; elliptic filters; genetic algorithms; transforms; 1D prototypes; 2D FIR filter design; 2D fan filters; McClellan transformation; arbitrary orientation; arbitrary shape transformation contours; arbitrary slope; circular filters; diamond-shaped filters; elliptical filters; finite impulse response filters; genetic algorithms; optimal coefficients; Algorithm design and analysis; Design methodology; Finite impulse response filter; Frequency response; Genetic algorithms; Prototypes; Shape; Signal processing algorithms; Stochastic processes; Two dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-4869-9

Type

conf

DOI

10.1109/ICEC.1998.699723

Filename

699723