文章基本信息

标题：A New Stochastic Inner Product Core Design for Digital FIR Filters
本地全文：下载
作者：Ming Ming Wong ; M. L. Dennis Wong ; Cishen Zhang 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2017
卷号：125
页码：1-5
DOI：10.1051/matecconf/201712505006
语种：English
出版社：EDP Sciences
摘要：Stochastic computing (SC) is a computational technique with computational operations governed by probability instead of arithmetic rules. It recently found promising applications in digital and image processing areas and attracted attentions of researchers. In this paper, a new stochastic inner product (multiply and accumulate) core with an improved scaling scheme is presented for improving the accuracy and fault tolerance performance of SC based finite impulse response (FIR) digital filters. The proposed inner product core is designed using tree structured multiplexers which is capable of reducing the critical path and fault propagation in the stochastic circuitry. The designed inner product core can lead to construction of SC based light weight and multiplierless FIR digital filters. As a result, an SC based FIR digital FIR filter is implemented on Altera Cyclone V FPGA which operates on stochastic sequences of 256-bits length (8-bits precision level). Experimental results show that the developed filter has lower hardware cost, better accuracy and higher fault tolerance level compared with other stochastic implementations.