Title :
Evolutionary synthesis of digital filter structures using genetic programming
Author :
Uesaka, Kazuyoshi ; Kawamata, Masayuki
Author_Institution :
Dept. of Electron. Eng., Tohoku Univ., Sendai, Japan
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.
Keywords :
IIR filters; computability; digital filters; genetic algorithms; 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; Delay; Difference equations; Digital filters; Energy consumption; Genetic programming; Hardware; Helium; IIR filters; Software algorithms; Transfer functions;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
DOI :
10.1109/TCSII.2003.820240