DocumentCode :
128974
Title :
IIR filters using stochastic arithmetic
Author :
Saraf, N. ; Bazargan, Kia ; Lilja, David J. ; Riedel, Marc D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA
fYear :
2014
fDate :
24-28 March 2014
Firstpage :
1
Lastpage :
6
Abstract :
We consider the design of IIR filters operating on oversampled sigma-delta modulated bit streams using stochastic arithmetic. Conventional digital filters process multi-bit data at the Nyquist rate using multi-bit multipliers and adders. High resolution ADCs based on the sigma-delta modulation generate random bits at an oversampled rate as intermediate data. We propose to filter the sigma-delta modulated bit streams directly and present first and second order low pass IIR filters based on the stochastic integrator. Experimental results show a significant reduction in hardware area by using stochastic filters.
Keywords :
IIR filters; adders; analogue-digital conversion; low-pass filters; sigma-delta modulation; ADC; Nyquist rate; digital filters; intermediate data; low pass IIR filters; multibit adders; multibit data; multibit multipliers; oversampled rate; sigma-delta modulated bit streams; stochastic arithmetic; stochastic integrator; IIR filters; Oversampling; Sigma-delta modulation; Stochastic computing; Stochastic integrator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design, Automation and Test in Europe Conference and Exhibition (DATE), 2014
Conference_Location :
Dresden
Type :
conf
DOI :
10.7873/DATE.2014.086
Filename :
6800287
Link To Document :
بازگشت