DocumentCode :
2964179
Title :
Adaptive error-cancellation for low-power digital filtering
Author :
Wang, Lei ; Shanbhag, Naresh R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Volume :
2
fYear :
2000
fDate :
Oct. 29 2000-Nov. 1 2000
Firstpage :
1702
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 V/sub dd-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 low-power 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.
Keywords :
adaptive filters; digital filters; error correction; frequency division multiplexing; low-power electronics; ANT; adaptive error-cancellation; algorithmic noise-tolerance; frequency-division multiplexed communications; low-power broadband signal processing; low-power digital filtering; optimally voltage-scaled conventional systems; supply voltage; voltage overscaling; Adaptive filters; Adaptive signal processing; Context; Degradation; Digital filters; Filtering algorithms; Frequency division multiplexing; Signal design; Signal processing algorithms; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-6514-3
Type :
conf
DOI :
10.1109/ACSSC.2000.911279
Filename :
911279
Link To Document :
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