High-Precision Stochastic State-Space Digital Filters Based on Minimum Roundoff Noise Structure

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

研究成果: Conference contribution

抄録

Digital filters based on stochastic computation have recently gained considerable attention because the stochastic computation attains significant reduction of hardware complexity of digital filters compared with the classical deterministic binary computation-based filters. For stochastic IIR filters, Liu and Parhi proposed an elegant method that achieves high precision by means of the normalized state-space lattice structure. This paper extends the result and presents stochastic state-space IIR filters with higher precision than the conventional method. Instead of using the normalized lattice structure, our method makes use of the minimum roundoff noise structure in realizing stochastic state-space filters, leading to further improvement of arithmetic precision of IIR filtering compared with the conventional method. Experimental results show that our method gives higher signal-to-error ratio at the filter outputs than the conventional method.

本文言語English
ホスト出版物のタイトル2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781538648810
DOI
出版ステータスPublished - 2018 4 26
イベント2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Florence, Italy
継続期間: 2018 5 272018 5 30

出版物シリーズ

名前Proceedings - IEEE International Symposium on Circuits and Systems
2018-May
ISSN(印刷版)0271-4310

Other

Other2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018
国/地域Italy
CityFlorence
Period18/5/2718/5/30

ASJC Scopus subject areas

  • 電子工学および電気工学

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