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

Byonghyo Shim; Ming Zhang; Naresh R. Shanbhag

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

Byonghyo Shim^*
, Ming Zhang
, Naresh R. Shanbhag

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

5 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	331-336
Number of pages	6
Journal	IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
Publication status	Published - 2004
Event	2004 IEEE Workshop on Signal Processing Systems Design and Implementation, Proceedings - Austin, TX, United States Duration: 2004 Oct 13 → 2004 Oct 15

ASJC Scopus subject areas

Media Technology
Signal Processing

Cite this

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title = "A novel forward-backward predictor based low-power DSP system",

abstract = "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.",

author = "Byonghyo Shim and Ming Zhang and Shanbhag, \{Naresh R.\}",

note = "Copyright: Copyright 2011 Elsevier B.V., All rights reserved.; 2004 IEEE Workshop on Signal Processing Systems Design and Implementation, Proceedings ; Conference date: 13-10-2004 Through 15-10-2004",

year = "2004",

language = "English",

pages = "331--336",

journal = "IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation",

issn = "1520-6130",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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TY - JOUR

T1 - A novel forward-backward predictor based low-power DSP system

AU - Shim, Byonghyo

AU - Zhang, Ming

AU - Shanbhag, Naresh R.

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/17044382607

M3 - Conference article

AN - SCOPUS:17044382607

SN - 1520-6130

SP - 331

EP - 336

JO - IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation

JF - IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation

T2 - 2004 IEEE Workshop on Signal Processing Systems Design and Implementation, Proceedings

Y2 - 13 October 2004 through 15 October 2004

ER -

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

Abstract

ASJC Scopus subject areas

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