Digital IIR filters design using differential evolution algorithm with a controllable probabilistic population size

PLoS ONE

Volumn 7, Issue 7, 2012, Pages

  Zhu, Wu ^a   Fang, Jian an ^a   Tang, Yang ^a,b,c,d   Zhang, Wenbing ^a,e   Du, Wei ^e  

^a DONGHUA UNIVERSITY   (China)

^b HARBIN INSTITUTE OF TECHNOLOGY   (China)

^c HUMBOLDT UNIVERSITY   (Germany)

^d POTSDAM INSTITUTE FOR CLIMATE IMPACT RESEARCH   (Germany)

^e HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; CONTROLLABLE PROBABILISTIC POPULATION SIZE; COST EFFECTIVENESS ANALYSIS; DIFFERENTIAL EVOLUTION ALGORITHM; DIGITAL FILTERING; DIGITAL INFINITE IMPULSE RESPONSE FILTER; EQUIPMENT DESIGN; ERROR; EXCITATION; INTERMETHOD COMPARISON; MATHEMATICAL ANALYSIS; MEASUREMENT; NOISE; POPULATION SIZE; PROBABILITY; SIMULATION; STIMULUS RESPONSE;

EID: 84863821838     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0040549     Document Type: Article

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