| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 561923 | Signal Processing | 2007 | 9 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Shian-Tang Tzeng,