Digital filter design of IIR filters using real valued genetic algorithm

Authors:
Mikael Nilsson;Mattias Dahl;Ingvar Claesson
Affiliations:
Blekinge Institute of Technology, Department of Telecommunications and Signal Processing, Ronneby, Sweden;Blekinge Institute of Technology, Department of Telecommunications and Signal Processing, Ronneby, Sweden;Blekinge Institute of Technology, Department of Telecommunications and Signal Processing, Ronneby, Sweden
Venue:
ICECS'03 Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing
Year:
2003

Citing 4
Cited 1

Digital filter design

Digital filter design
Genetic algorithms + data structures = evolution programs (3rd ed.)

Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Least-squares design of IIR filters with prescribed magnitude andphase responses and a pole radius constraint

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Holistic biquadratic IIR filter design for communication systems using differential evolution

Journal of Control Science and Engineering - Special issue on Hardware Implementation of Digital Signal Processing Algorithms

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Abstract

This paper presents a new paradigm for infinite impulse response (IIR) filter design using genetic algorithms (GA). By encode or transform the filter design problem into the z-plane the GA optimization procedure will be simplified. Additionally, given the z-plane encoding new mutation techniques are introduced, with the intention to locate promising regions in the search space. With proper design of the fitness function, the proposed algorithm can be used to evolve both full precision or quantized filter structures.