Error correction system using stochastic numbers in symmetric channels and z channels

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

2 Citations (Scopus)

Abstract

In fields of image processing and neural network, increasing amount of data and complex functions are making circuits precise. This makes errors in circuits relatively large. When upper bits of binary signals flip due to noise, the value will increase or decrease drastically. On the other hand, if stochastic numbers are used, the changes on their values are the same since all the bits have the same weight. Therefore, stochastic computing, a computation method based on stochastic numbers, is attracting interest. Stochastic computing does have error tolerance, but cannot restore the bit stream if the bits are erroneous. Here, we focus on evaluating the error-free value from the bit error rate and the erroneous value. We have proposed a method to correct errors of stochastic numbers by measuring the bit error rate and filtering the values properly in symmetric channels. In this paper, we propose a method that can also correct errors in Z channels as well as symmetric channels. From experimental evaluations, in environment with high bit error rate, this proposal will give a better peak-signal-to-noise ratio compared with a conventional error correction coding.

Original languageEnglish
Title of host publication2019 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages578-581
Number of pages4
ISBN (Electronic)9781728109961
DOIs
Publication statusPublished - 2019 Nov
Event26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019 - Genoa, Italy
Duration: 2019 Nov 272019 Nov 29

Publication series

Name2019 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019

Conference

Conference26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019
CountryItaly
CityGenoa
Period19/11/2719/11/29

Keywords

  • Error correction
  • Error probability
  • Stochastic computing
  • Stochastic numbers
  • Symmetric channels
  • Z channels

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Optimization
  • Computer Networks and Communications
  • Hardware and Architecture

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