IIR filters using stochastic arithmetic

Naman Saraf, Kia Bazargan, David J Lilja, Marc Riedel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

44 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings - Design, Automation and Test in Europe, DATE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9783981537024
DOIs
StatePublished - Jan 1 2014
Event17th Design, Automation and Test in Europe, DATE 2014 - Dresden, Germany
Duration: Mar 24 2014Mar 28 2014

Publication series

NameProceedings -Design, Automation and Test in Europe, DATE
ISSN (Print)1530-1591

Other

Other17th Design, Automation and Test in Europe, DATE 2014
Country/TerritoryGermany
CityDresden
Period3/24/143/28/14

Keywords

  • IIR filters
  • Oversampling
  • Sigma-delta modulation
  • Stochastic computing
  • Stochastic integrator

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