IIR filters using stochastic arithmetic

Design, Automation and Test in Europe Conference and Exhibition(2014)

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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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关键词
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
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