DocumentCode
1125585
Title
Low-power filtering via adaptive error-cancellation
Author
Wang, Lei ; Shanbhag, Naresh R.
Author_Institution
Microprocessor Design Labs., Hewlett-Packard Co., Fort Collins, CO, USA
Volume
51
Issue
2
fYear
2003
fDate
2/1/2003 12:00:00 AM
Firstpage
575
Lastpage
583
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.
Keywords
adaptive filters; digital filters; error compensation; frequency division multiplexing; AEC; ANT techniques; FDM communication system; VOS; adaptive error-cancellation; adaptive filtering; algorithmic noise-tolerance techniques; digital filtering; energy reduction; frequency-division multiplexed communication system; input errors; low-power filtering; low-power technique; soft errors; transient/soft errors; voltage overscaling; voltage-scaled systems; Adaptive filters; Circuit noise; Crosstalk; Digital signal processing; Energy efficiency; Filtering; Semiconductor device noise; Signal processing; Signal processing algorithms; Voltage;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2002.806989
Filename
1166690
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