@inproceedings{69e460f006844c16891a512d5f13ac12,
title = "Reliable and energy-efficient digital signal processing",
abstract = "This paper provides an overview of algorithmic noise-tolerance (ANT) for designing reliable and energy-efficient digital signal processing systems. Techniques such as prediction-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 are proposed as a means of encapsulating the benefits of an ANT-based low-power design methodology. CAD issues resident in such a methodology are also discussed.",
keywords = "Broadband, Communications, Deep submicron, Energy-efficiency, Low-power, Noise, Noise-tolerance, Reliability",
author = "Naresh Shanbhag",
year = "2002",
doi = "10.1109/dac.2002.1012737",
language = "English (US)",
isbn = "1581134614",
series = "Proceedings - Design Automation Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "830--835",
booktitle = "Proceedings of the 39th Annual Design Automation Conference, DAC'02",
address = "United States",
note = "39th Design Automation Conference ; Conference date: 10-06-2002 Through 14-06-2002",
}