A new mutated quantum-behaved particle swarm optimizer for digital IIR filter design

DOI10.1155/2009/367465zbMath1192.94042DBLPjournals/ejasp/FangSX09OpenAlexW1988274753WikidataQ59251894 ScholiaQ59251894MaRDI QIDQ983746

J. Martínez

Publication date: 26 July 2010

Published in: EURASIP Journal on Advances in Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2009/367465

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Approximation methods and heuristics in mathematical programming (90C59) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

A novel design method for optimal IIR system identification using opposition based harmony search algorithm ⋮ A network traffic prediction model based on quantum-behaved particle swarm optimization algorithm and fuzzy wavelet neural network ⋮ A comparison of evolutionary computation techniques for IIR model identification

Cites Work

• Genetic algorithms applied to the adaptation of IIR filters
• A new design method based on artificial bee colony algorithm for digital IIR filters
• Digital IIR filter design using differential evolution algorithm

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