1 被引用数 (Scopus)

抄録

This paper introduces a design of asymmetric compensation filters based on stochastic computation for auditory signal processing. Asymmetric compensation filters are used to model gammachirp filters, which well express the performance of human auditory peripheral mechanism and can be used for hearing assisting devices and noise robust speech recognition systems. Using stochastic computation, the asymmetric compensation filters are simply designed using cascaded IIR filters, thanks to a low-complexity implementation of a multiplication. However, the maximum gain of stochastic filters is limited to 1, causing undesirable filter responses. To address the issue, the proposed flexible gain adjusting (FGA) technique normalizes the gain at each IIR filter in stochastic domain while adjusting the total gain in binary domain. For hardware implementation, stochastic asymmetric compensation filters are designed using TSMC 65 nm CMOS technology and the performance is evaluated with the chip layout generated using a standard cell design flow.

本文言語English
ホスト出版物のタイトル2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1315-1319
ページ数5
ISBN(電子版)9781509059904
DOI
出版ステータスPublished - 2018 3 7
イベント5th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Montreal, Canada
継続期間: 2017 11 142017 11 16

出版物シリーズ

名前2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings
2018-January

Other

Other5th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017
国/地域Canada
CityMontreal
Period17/11/1417/11/16

ASJC Scopus subject areas

  • 情報システム
  • 信号処理

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