Evolutionary synthesis of digital filter structures using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Uesaka:2003:CS,

• author = "Kazuyoshi Uesaka and Masayuki Kawamata",
• title = "Evolutionary synthesis of digital filter structures using genetic programming",
• journal = "IEEE Transactions on Circuits and Systems {II}: Analog and Digital Signal Processing",
• year = "2003",
• volume = "50",
• number = "12",
• pages = "977--983",
• month = dec,
• keywords = "genetic algorithms, genetic programming, IIR filters, computability, digital filters, roundoff errors, transfer function matrices, S-expressions, automatically defined functions, computability, difference equations, digital filter structures, digital filter wordlength effects, evolutionary synthesis method, fitness measure, fourth-order filter, genetic programming, global optimization, infinite-impulse response filters, low-coefficient sensitivity, low-output roundoff noise, matrix representation, subroutines, transfer function",
• ISSN = "1057-7130",
• DOI = "doi:10.1109/TCSII.2003.820240",
• abstract = "This paper presents a synthesis method for infinite-impulse response (IIR) digital filter structures using genetic programming with automatically defined functions (GP-ADF). In the proposed method, digital filter structures are represented as S-expressions with subroutines, which are written directly from the set of difference equations. This paper also shows the condition for the constructing the S-expressions that represent the filter structures without delay-free loops. Numerical examples synthesize two-filter structures: the low-coefficient sensitivity fourth-order filter structure and the low-output roundoff noise second-order filter structure.",
• notes = "Inspec Accession Number: 7830391",

}

Genetic Programming entries for Kazuyoshi Uesaka Masayuki Kawamata

Citations