Synthesis of low-sensitivity second-order digital filter using genetic programming with automatically defined functions

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Uesaka:2000:ISCAS,

• author = "Kazuyoshi Uesaka and Masayuki Kawamata",
• title = "Synthesis of low-sensitivity second-order digital filter using genetic programming with automatically defined functions",
• booktitle = "Proceedings of the IEEE International Symposium on Circuits and Systems, ISCAS 2000",
• year = "2000",
• volume = "1",
• pages = "359--362",
• address = "Geneva",
• month = "28-31 " # may,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming, IIR digital filter structures, S-expressions, automatically defined functions, fitness measure, genetic programming, global optimisation technique, low coefficient sensitivity, low-sensitivity digital filter design, magnitude sensitivity, second-order digital filter, subroutines, synthesis method, IIR filters, digital filters, filtering theory, iterative methods, optimisation, sensitivity",
• DOI = "doi:10.1109/ISCAS.2000.857104",
• size = "5 pages",
• abstract = "This paper proposes a synthesis method for low coefficient sensitivity second-order IIR digital filter structures using Genetic Programming with Automatically Defined Functions (GP-ADF). In this paper, digital filter structures are represented as S-expressions with subroutines. It is easy to generate syntactically valid S-expressions and perform the genetic operations because the representation is suitable for GP. In a numerical example, we use the fitness measure including the magnitude sensitivity, and demonstrate that the proposed method can synthesize efficiently very low coefficient sensitivity filter structures",

}

Genetic Programming entries for Kazuyoshi Uesaka Masayuki Kawamata

Citations