A novel forward-backward predictor based low-power DSP system

Byonghyo Shim, Ming Zhang, Naresh R. Shanbhag

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)


In this paper, we present a algorithmic noise tolerance (ANT) technique for low-power digital signal processing systems. The proposed technique employs a low-complexity forward-backward predictor to correct errors in a main DSP (MDSP) block due to voltage overscaling, which is an ultra low-voltage operating condition. For a frequency selective FIR filtering, it is shown that the proposed technique achieves up to 43% power savings over an optimally voltage scaled MDSP with a 5% area overhead.

Original languageEnglish
Pages (from-to)331-336
Number of pages6
JournalIEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
Publication statusPublished - 2004
Event2004 IEEE Workshop on Signal Processing Systems Design and Implementation, Proceedings - Austin, TX, United States
Duration: 2004 Oct 132004 Oct 15

ASJC Scopus subject areas

  • Media Technology
  • Signal Processing


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