Coefficient sensitivity of polynomial-predictive FIR differentiators: design for short word length

Author

Tanskanen, Jarno M A ; Ovaska, Seppo J.

Author_Institution

Inst. of Intelligent Power Electron., Helsinki Univ. of Technol., Espoo, Finland

Volume

1

fYear

1999

fDate

1999

Firstpage

520

Abstract

In this paper, a genetic algorithm for designing polynomial-predictive FIR differentiators (PPFD) for short word length fixed-point realizations is presented. Critical design aspects are pointed out, and a fitness function for genetic algorithms is designed to strive for desired prediction and differentiation properties with filter coefficients quantized to eight bits. The genetic algorithm is in many cases found to produce better quantized coefficient filters than the original quantized coefficient PPFDs

Keywords

FIR filters; digital filters; fixed point arithmetic; genetic algorithms; sensitivity analysis; coefficient sensitivity; filter coefficients; fitness function; fixed-point realizations; genetic algorithm; polynomial-predictive FIR differentiators; quantized coefficient filters; short word length; Algorithm design and analysis; Application specific integrated circuits; Costs; Elevators; Filtering; Finite impulse response filter; Genetic algorithms; Motion control; Polynomials; Quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1999. 42nd Midwest Symposium on

Conference_Location

Las Cruces, NM

Print_ISBN

0-7803-5491-5

Type

conf

DOI

10.1109/MWSCAS.1999.867319

Filename

867319