DocumentCode :
2532537
Title :
Automated method for passive filters design based on evolutionary computations and Monte Carlo analysis
Author :
Golonek, Tomasz ; Jantos, Piotr
Author_Institution :
Inst. of Electron., Silesian Univ. of Technol., Gliwice, Poland
fYear :
2012
fDate :
18-21 Sept. 2012
Firstpage :
1
Lastpage :
4
Abstract :
This paper describes the heuristic technique of analog filters design. After desired frequency response definition for a filter, the evolutionary system searches for adequate connections for its circuit. The circuit is constructed with the use of elementary blocks which contain two elements (resistance and reactance). The final values for all elements of the filter are searched locally by means of Monte Carlo analysis. The proposed solution can be especially suitable to special filters designing, i.e. these ones, for which amplitude responses have not typical shapes.
Keywords :
Monte Carlo methods; circuit optimisation; evolutionary computation; frequency response; heuristic programming; passive filters; Monte Carlo analysis; amplitude responses; analog filter design; automated method; evolutionary computations; evolutionary system; frequency response; heuristic technique; passive filter design; Evolutionary computation; Genetic programming; Impedance; Integrated circuit modeling; Optimization; Passive filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals and Electronic Systems (ICSES), 2012 International Conference on
Conference_Location :
Wroclaw
Print_ISBN :
978-1-4673-1710-8
Electronic_ISBN :
978-1-4673-1709-2
Type :
conf
DOI :
10.1109/ICSES.2012.6382218
Filename :
6382218
Link To Document :
بازگشت