Reliable and energy-efficient digital signal processing

被引:0
|
作者
Shanbhag, N [1 ]
机构
[1] Univ Illinois, Dept ECE, Urbana, IL 61801 USA
关键词
reliability; energy-efficiency; low-power; deep submicron; noise; noise-tolerance; broadband; communications;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper provides an overview of algorithmic noise-tolerance (ANT) for designing reliable and energy-efficient digital signal processing systems. Techniques such as predict ion-based, error cancellation-based, and reduced precision redundancy based ANT are discussed. Average energy-savings range from 67% to 71% over conventional systems. Fluid IP core generators axe proposed as a means of encapsulating the benefits of an ANT-bascd low-power design methodology. CAD issues resident in such a methodology are also discussed.
引用
收藏
页码:830 / 835
页数:2
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