Evolutionary Algorithm versus Variable Metric Method in Digital FIR Filter Design

Author

Adamski, Krzysztof

Author_Institution

Warsaw Univ. of Technol., Warsaw

fYear

2007

fDate

9-12 Sept. 2007

Firstpage

116

Lastpage

121

Abstract

In this paper we analyze the filter design task and interprete it as an optimization problem. We verify the possibility of applying good local optimization method (quasi-Newton - QN) and a robust global optimization method (evolutionary algorithm - EA). According to the results of the computer simulation, we conclude that a hybrid solution that combines these two method yields filters of the amplitude characteristic that is better than yielded by the window based design method and better than generated by the QN method alone.

Keywords

FIR filters; evolutionary computation; digital FIR filter design; evolutionary algorithm; finite impulse response filter; global optimization method; local optimization method; variable metric method; Algorithm design and analysis; Character generation; Computer simulation; Design methodology; Design optimization; Evolutionary computation; Finite impulse response filter; Hybrid power systems; Optimization methods; Robustness; FIR; Quasi-Newton; design; evolutionary algorithm; filter; hybrid; optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

EUROCON, 2007. The International Conference on "Computer as a Tool"

Conference_Location

Warsaw

Print_ISBN

978-1-4244-0813-9

Electronic_ISBN

978-1-4244-0813-9

Type

conf

DOI

10.1109/EURCON.2007.4400536

Filename

4400536