IIR Filters Using Stochastic Arithmetic

被引:0
|
作者
Saraf, Naman [1 ]
Bazargan, Kia [1 ]
Lilja, David J. [1 ]
Riedel, Marc D. [1 ]
机构
[1] Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN 55455 USA
关键词
Stochastic computing; Oversampling; Sigma-delta modulation; Stochastic integrator; IIR filters;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
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页数:6
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