An evolutionary algorithm is used to design a finite impulse response digital filter with reduced power consumption. The proposed design approach combines genetic optimization and simulation methodology, to evaluate a multi-objective fitness function which includes both the suitability of the filter transfer function and the transition activity of digital blocks. The best filter obtained is automatically synthesized in VHDL. A design example is presented and compared with the conventional solution, demonstrating that genetic optimization can help in reducing digital switching power.
Digital filter design through simulated evolution / M. Erba, R. Rossi, V. Liberali, A.G.B. Tettamanzi - In: Circuit paradigm in the 21. century : proceedings of the 15. European conference on circuit theory and design : ECCTD'01 : Helsinki University of Technology, Espoo, Finland, 28–31 August 2001 / [a cura di] V. Porra, M. Valtonen, I. Hartimo, M. Ilmonen, O. Simula, T. Veijola. - Espoo : Helsinki University of Technology, 2001 Aug. - ISBN 9512255731. - pp. II.137-II.140 (( Intervento presentato al 15. convegno European conference on circuit theory and design : ECCTD tenutosi a Espoo, Finland nel 2001.
Digital filter design through simulated evolution
V. Liberali;A.G.B. Tettamanzi
2001
Abstract
An evolutionary algorithm is used to design a finite impulse response digital filter with reduced power consumption. The proposed design approach combines genetic optimization and simulation methodology, to evaluate a multi-objective fitness function which includes both the suitability of the filter transfer function and the transition activity of digital blocks. The best filter obtained is automatically synthesized in VHDL. A design example is presented and compared with the conventional solution, demonstrating that genetic optimization can help in reducing digital switching power.
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
