Optimal 2-D recursive digital filter design using particle swarm optimization

Authors:
Morris Abraham Gnanamuthu Ezra;K. Ramar;C. Eswaran
Affiliations:
Faculty of Engineering, Multimedia University, Jalan Multimedia, Cyberjaya, Selangor, Malaysia;Faculty of Engineering, Multimedia University, Jalan Multimedia, Cyberjaya, Selangor, Malaysia;Faculty of Engineering, Multimedia University, Jalan Multimedia, Cyberjaya, Selangor, Malaysia
Venue:
CSECS'06 Proceedings of the 5th WSEAS International Conference on Circuits, Systems, Electronics, Control & Signal Processing
Year:
2006

Citing 3
Cited 0

Two-dimensional signal and image processing

Two-dimensional signal and image processing
Digital image processing

Digital image processing
Tracking Non-Stationary Optimal Solution by Particle Swarm Optimizer

SNPD-SAWN '05 Proceedings of the Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks

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Abstract

In the process of designing digital recursive filter to satisfy a given magnitude response, the designer may end up with an unstable filter. This unstable filter can be stabilized using methods such as Planar Least Square Inverse (PLSI) technique, Complex Ceptrum Method etc. The Planar Least Square Inverse technique is supposed to preserve the desired magnitude response which is found to be not true in all cases. Hence a new method of designing stable recursive filters using PLSI technique and particle swarm optimization algorithm is presented in this paper. The optimally designed filter will have a magnitude response almost similar to the desired magnitude response.