Adaptive error-cancellation for low-power digital filtering

Research output: Contribution to journalConference article

Abstract

This paper presents a low-power digital filtering technique derived via algorithmic noise-tolerance (ANT). The proposed technique achieves substantial energy savings via voltage overscaling (VOS), where the supply voltage is scaled beyond the minimum (referred to as Vdd-crit) necessary for correct operation. The resulting performance degradation is compensated for via an adaptive error-cancellation (AEC) algorithm. In particular, we employ an energy optimum AEC to optimize the energy-performance trade-off and reduce the overhead due to ANT. It is shown that the proposed AEC technique is well-suited for designing lowpower broadband signal processing and communication systems. Up to 71% energy savings over optimally voltage-scaled conventional systems can be obtained in the context of frequency-division multiplexed (FDM) communications without incurring any performance loss.

Original languageEnglish (US)
Pages (from-to)1702-1706
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume2
StatePublished - Dec 1 2000
Event34th Asilomar Conference - Pacific Grove, CA, United States
Duration: Oct 29 2000Nov 1 2000

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Energy conservation
Electric potential
Communication systems
Signal processing
Degradation
Communication

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Cite this

Adaptive error-cancellation for low-power digital filtering. / Wang, L.; Shanbhag, N. R.

In: Conference Record of the Asilomar Conference on Signals, Systems and Computers, Vol. 2, 01.12.2000, p. 1702-1706.

Research output: Contribution to journalConference article

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