Title :
Evolutionary design of FIR digital filters with power-of-two coefficients
Author :
Gentili, P. ; Biazza, F. ; Uncini, A.
Author_Institution :
Dipartimento di Elettronica e Autom., Ancona Univ., Italy
Abstract :
The paper presents a genetic approach to the design of finite impulse response filters with coefficients constrained to be sums of power-of-two terms. The evolutionary algorithm is explained and compared experimentally with other state-of-the-art design methods. The proposed technique is able to attain good results and can be easily implemented on parallel hardware
Keywords :
circuit CAD; digital filters; genetic algorithms; FIR digital filters; evolutionary algorithm; genetic approach; parallel hardware; power-of-two coefficients; Algorithm design and analysis; Design methodology; Design optimization; Digital circuits; Digital filters; Digital signal processing; Evolutionary computation; Finite impulse response filter; Genetics; Minimax techniques;
Conference_Titel :
Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1899-4
DOI :
10.1109/ICEC.1994.350032
