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Determining accuracy bounds for simulation-based switching activity estimation
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Source International Symposium on Low Power Electronics and Design archive
Proceedings of the 1995 international symposium on Low power design table of contents
Dana Point, California, United States
Pages: 215 - 220  
Year of Publication: 1995
ISBN:0-89791-744-8
Authors
Anthony M. Hill  University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Coordinated Science Laboratory, 1308 W. Main Street, Urbana, IL
Sung-Mo Steve Kang  University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Coordinated Science Laboratory, 1308 W. Main Street, Urbana, IL
Sponsors
IEEE-CAS : Circuits & Systems
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 8,   Citation Count: 4
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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.

 
1
J. Blum, J. Rosenblatt, Probability and Statistics, Philadelphia, W. B. Saunders Company, 1972.
 
2
P. Meyer, Introductory Probability and Statistical Applications, 2nd ed., Reading MA, Addison- Wesley, 1970.
3
 
4
R. Butch, F. Najm, P. Yang, T. Trick, "A monte carlo approach for power estimation," IEEE Trans. on VLSI Systems, vol. 1, no. 1, pp. 63-71, March 1993.
 
5
F. Najm, "Transition density: A new measure of activity in digital circuits," IEEE Trans. on Computer Aided Design of Integrated Circuits and Systems, vol. 12, no. 2, pp. 310-323, February 1993.
 
6
 
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8
A. M. Hill, S.-M. Kang, "Accuracy bounds in switching activity estimation," Custom Integrated Circuits Conference, 1994.
 
9
I. Miller, J. Freund, Probability and Statistics for Engineers, 3rd ed., Englewood Cliffs NJ, Prentice Hall, 1985.


Collaborative Colleagues:
Anthony M. Hill: colleagues
Sung-Mo Steve Kang: colleagues