DocumentCode
2726025
Title
Automatic FIR Filter Design Method and Tool based on Genetic Algorithms
Author
Barros, Andr Macário ; Lope, Heitor S. ; Stelle, Álvaro L.
Author_Institution
Centro Univ. Positivo UnicenP, Curitiba
fYear
2007
fDate
1-5 April 2007
Firstpage
151
Lastpage
156
Abstract
A FIR Filter design method and its respective tool using genetic algorithms were developed. The main feature of this method is to offer a transparent mode for the user who doesn´t know evolutionary computation, as well as its parameters. The user inputs the filter specifications and gets a sub-optimal result in an average number of four attempts. The sub-optimal criterion was based on the Rabiner, Parks and McClellan algorithm and the implemented software was built using the GALOPPS tool
Keywords
FIR filters; circuit CAD; genetic algorithms; FIR filter design; GALOPPS tool; evolutionary computation; filter specifications; genetic algorithms; Algorithm design and analysis; Computational intelligence; Design methodology; Digital filters; Evolutionary computation; Finite impulse response filter; Frequency response; Genetic algorithms; Signal processing algorithms; Software tools; FIR filter design; Galopps; Rabiner Parks and McClellan algorithm; Remez; genetic algoritms;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Image and Signal Processing, 2007. CIISP 2007. IEEE Symposium on
Conference_Location
Honolulu, HI
Print_ISBN
1-4244-0707-9
Type
conf
DOI
10.1109/CIISP.2007.369309
Filename
4221410
Link To Document