Open AccessUniform patterns based area-efficient and accurate stochastic computing finite impulse response filter
Author(s) -
Muhammad Ijaz,
Syed Azhar Ali Zaidi,
Aamir Rashid
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0245943
Subject(s) - stochastic computing , computer science , soft error , digital filter , infinite impulse response , filter (signal processing) , impulse (physics) , finite impulse response , computer engineering , algorithm , fault tolerance , adaptive filter , digital electronics , electronic circuit , electronic engineering , distributed computing , engineering , physics , quantum mechanics , computation , computer vision , electrical engineering
Stochastic computing has recently gained attention due to its low hardware complexity and better fault tolerance against soft errors. However, stochastic computing based circuits suffer from different errors which affect the output accuracy of these circuits. In this paper, an accurate and area-efficient stochastic computing based digital finite impulse response filter is designed. In the proposed work, constant uniform patterns are used as stochastic numbers for the select lines of different MUXes in the filter and the error performance of filter is analysed. Based on the error performance, the combinations of these patterns are proposed for reducing the output error of stochastic computing based filters. The architectures for generating these uniform patterns are also proposed. Results show that the proposed design methodology has better error performance and comparable hardware complexity as compared to the state-of-the-art implementations.