Low-power filtering via adaptive error-cancellation

Research output: Contribution to journalArticle

Abstract

A low-power technique for digital filtering referred to as adaptive error-cancellation (AEC) is presented in this paper. The AEC technique falls under the general class of algorithmic noise-tolerance (ANT) techniques proposed earlier for combating transient/soft errors. The proposed AEC technique exploits the correlation between the input and soft errors to estimate and cancel out the latter. In this paper, we apply AEC along with voltage overscaling (VOS), where the voltage is scaled beyond the minimum (referred to as Vdd-crit) necessary for correct operation. We employ the AEC technique in the context of a frequency-division multiplexed (FDM) communication system and demonstrate that up to 71% energy reduction can be achieved over present-day voltage-scaled systems.

Original languageEnglish (US)
Pages (from-to)575-583
Number of pages9
JournalIEEE Transactions on Signal Processing
Volume51
Issue number2
DOIs
StatePublished - Feb 1 2003

Keywords

  • Adaptive filtering
  • Algorithm transformations
  • Algorithmic noise-tolerance
  • Fault tolerance
  • Low power
  • Soft DSP
  • Voltage scaling

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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