Design of 2-D FIR digital filters with specified magnitude and group delay responses by GA approach

Authors:
Shian-Tang Tzeng
Affiliations:
Department of Electronic Engineering, Kao Yuan University, No. 1821 Chungshan Road, Luchu, Kaohsiung 821, Taiwan
Venue:
Signal Processing
Year:
2007

Citing 2
Cited 2

Genetic Algorithms and Manufacturing Systems Design

Genetic Algorithms and Manufacturing Systems Design
Efficient genetic algorithm design for power-of-two FIR filters

ICASSP '95 Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02

Saliency-directed image interpolation using particle swarm optimization

Signal Processing
Efficient 2-D based algorithms for WLS designs of 2-D FIR filters with arbitrary weighting functions

Multidimensional Systems and Signal Processing

Quantified Score

Hi-index	0.08

Visualization

Abstract

An effective genetic algorithm (GA) approach is proposed for designing two-dimensional (2-D) real finite-duration impulse response (FIR) digital filters with complex-valued frequency responses. The method is extended from the one-dimensional (1-D) filter designs. By minimizing a quadratic measure of the error in the frequency band, the real-valued chromosomes of a population are evolved to get the filter coefficients. It is used to design two major classes of 2-D FIR digital filters including multi-band filters and all-pass phase equalizers. Two examples are presented to demonstrate the efficiency and effectiveness of this proposed approach.