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

来源：

2014 DESIGN, AUTOMATION AND TEST IN EUROPE CONFERENCE AND EXHIBITION (DATE) | 2014年

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.

引用

页数：6

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