| Analytical estimation of transition activity from word-level signal statistics |
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Annual ACM IEEE Design Automation Conference
archive
Proceedings of the 34th annual Design Automation Conference
table of contents
Anaheim, California, United States
Pages: 582 - 587
Year of Publication: 1997
ISBN:0-89791-920-3
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Authors
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Sumant Ramprasad
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Dept. of Computer Science, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL
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Naresh R. Shanbhag
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Dept. of Electrical and Computer Engineering, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL
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Ibrahim N. Hajj
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Dept. of Electrical and Computer Engineering, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL
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Downloads (6 Weeks): 5, Downloads (12 Months): 6, Citation Count: 3
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ABSTRACT
Presented here is an analytical methodologyto determine the average signal activity, T, from the high-levelsignal statistics, a statistical signal generation model,and the signal encoding.Simulation results for 16 bit signalsgenerated via AR(1) and MA(1) models indicate anestimation error in T of less than 2%.The applicationof the proposed method to the estimation of T in DSPhardware is also explained.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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