New statistical method for maximum power estimation in CMOS VLSI circuits

Active and Passive Electronic Components

Volumn 22, Issue 3, 2000, Pages 215-233

  Evmorfopoulos, N E ^a   Avaritsiotis, J N ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; ELECTRIC POWER SUPPLIES TO APPARATUS; ESTIMATION; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS; STATISTICAL METHODS; VLSI CIRCUITS;

EXTREME VALUE THEORY; MAXIMUM POWER ESTIMATION; POWER CONSUMPTION;

CMOS INTEGRATED CIRCUITS;

EID: 0033699252     PISSN: 08827516     EISSN: None     Source Type: Journal    
DOI: 10.1155/2000/39526     Document Type: Article

References (10)

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3. Galambos, J. (1987). The Asymptotic Theory of Extreme Order Statistics 2nd edn., Krieger.
4. Reiss, R.-D. and Thomas, M. (1997). Statistical Analysis of Extreme Values, Birkhauser Verlag.
5. Resnick, S. (1971). "Tail equivalence and its applications", J. Applied Probability, 8, 136-156.
6. Hahn, G. and Shapiro, S. (1994). Statistical Models in Engineering, Wiley.
7. Nelder, J. and Mead, R. (1965). "A simplex method for function minimization", Computer J., 7, 308-313.
8. Weste, N. and Eshragian, K. (1993). Principles of CMOS VLSI Design: A Systems Perspective 2nd edn., Addison-Wesley.
9. Burch, R., Najm, F , Yang, P. and Trick, T., "A Monte Carlo approach for power estimation", IEEE Trans. VLSI Systems, 1, 63-71, Mar., 1993.
10. Stamoulis, G. and Hajj, I. (1993). "Improved techniques for probabilistic simulation including signal correlation effects", ACM/IEEE Design Automation Conference.