High-accuracy and area-efficient stochastic FIR digital filters based on hybrid computation

Shunsuke Koshita, Naoya Nonizawa, Masahide Abe, Takahiro Hanyu, Masayuki Kawamata

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)


This paper presents FIR digital filters based on stochastic/ binary hybrid computation with reduced hardware complexity and high computational accuracy. Recently, some attempts have been made to apply stochastic computation to realization of digital filters. Such realization methods lead to significant reduction of hardware complexity over the conventional filter realizations based on binary computation. However, the stochastic digital filters suffer from lower computational accuracy than the digital filters based on binary computation because of the random error fluctuations that are generated in stochastic bit streams, stochastic multipliers, and stochastic adders. This becomes a serious problem in the case of FIR filter realizations compared with the IIR counterparts because FIR filters usually require larger number of multiplications and additions than IIR filters. To improve the computational accuracy, this paper presents a stochastic/ binary hybrid realization, where multipliers are realized using stochastic computation but adders are realized using binary computation. In addition, a coefficient-scaling technique is proposed to further improve the computational accuracy of stochastic FIR filters. Furthermore, the transposed structure is applied to the FIR filter realization, leading to reduction of hardware complexity. Evaluation results demonstrate that our method achieves at most 40dB improvement in minimum stopband attenuation compared with the conventional pure stochastic design.

Original languageEnglish
Pages (from-to)1592-1602
Number of pages11
JournalIEICE Transactions on Information and Systems
Issue number8
Publication statusPublished - 2017 Aug


  • Computational accuracy
  • Digital circuit implementation
  • FIR digital filter
  • Stochastic computation

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence


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