High-Accuracy Stochastic Computing-Based FIR Filter Design

Kazi J. Ahmed, Bo Yuan, Myung J. Lee

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

1 Scopus citations

Abstract

In this paper we propose a novel Stochastic Computing (SC) Finite Impulse Response (FIR) filter design to improve the overall accuracy. Since SC is generated probabilistically, it incurs inherent SC process error, i.e. the larger number of SC process blocks, the larger error probability. Moreover, generation of SC from lower binary radix value produces higher percentage of error as compared to generation from higher value. In our SC FIR design, we reduce the number of SC processing blocks by reducing the number of FIR stages using fast FIR algorithm (FFA). Further we improve the inner-product performance by re-ordering the FIR filter parameters to generate higher-value SC input. Confirmed by the numerical analysis and simulation results, our novel design can implement higher-order FIR filter without reducing its output performance.

Original languageEnglish (US)
Title of host publication2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1140-1144
Number of pages5
ISBN (Print)9781538646588
DOIs
StatePublished - Sep 10 2018
Externally publishedYes
Event2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Calgary, Canada
Duration: Apr 15 2018Apr 20 2018

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2018-April
ISSN (Print)1520-6149

Other

Other2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
CountryCanada
CityCalgary
Period4/15/184/20/18

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Keywords

  • Fast FIR Algorithm (FFA)
  • Finite Impulse Response (FIR) filter
  • High order FIR filter
  • Linear Phase
  • Stochastic Computing (SC)

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  • Cite this

    Ahmed, K. J., Yuan, B., & Lee, M. J. (2018). High-Accuracy Stochastic Computing-Based FIR Filter Design. In 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings (pp. 1140-1144). [8462260] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2018-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2018.8462260