Paper Info
Title
A novel low-power filter design via reduced-precision redundancy for voltage overscaling applications
Abstract
In this paper, we apply adaptive-signal processing in the reduced precision redundancy filter design for the voltage scaling (VOS) application to achieve high energy efficiency and high SNR performance. RPR technique can mitigate the soft error caused by VOS in the critical path, but the SNR performance of RPR is limited. Thus, we combined RPR and adaptive signal processing to achieve high SNR and low power consumption performance simultaneously for VOS applications. The adaptive signal processing is used to recover the middle significant bits in the result of the filter. From case studies, we find that the proposed method can obtain up to 64% energy reduction with much less SNR performance degradation losing than the traditional RPR and its optimization schemes.
Year
DOI
Venue
2013
10.1109/GLOCOM.2013.6831578
GLOBECOM
Keywords
Field
DocType
low power consumption,energy reduction,adaptive signal processing,voltage overscaling,energy conservation,low-power electronics,adaptive-signal processing,voltage scaling,energy efficiency,filters,reduced precision redundancy filter design,vos,rpr,low-power filter design,hardware,digital signal processing,signal to noise ratio
Computer science,Filter bank,Signal-to-noise ratio,Real-time computing,Redundancy (engineering),Kernel adaptive filter,Adaptive filter,Matched filter,Space-time adaptive processing,Filter design
Conference
ISSN
Citations 
PageRank 
2334-0983
0
0.34
References 
Authors
15
3
Name
Order
Citations
PageRank
Haoliang Li114519.12
Hu Jianhao29620.56
Jienan Chen38413.64