Title :
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
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;
Conference_Titel :
Circuits and Systems, 1999. 42nd Midwest Symposium on
Conference_Location :
Las Cruces, NM
Print_ISBN :
0-7803-5491-5
DOI :
10.1109/MWSCAS.1999.867319
