By Topic

Nonparametric estimation of average power dissipation in CMOS VLSI circuits

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Li-Pen Yuan ; Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA ; Chin-Chi Teng ; Sung-Mo Kang

In this paper, we present a new statistical technique for estimation of average power dissipation in digital circuits. Present statistical techniques estimate the average power based on the assumption that the power distribution can be characterized by a preassumed function. Large errors can occur when the assumption is not met. To overcome this problem, we propose a nonparametric technique in which no distribution function needs to be assumed. A distribution-independent upper and lower bound of the average power are derived from the Kolmogorov-Smirnov theorem. A stopping criterion is designed based on the bounds for a desired percentage error with a specified confidence level. Since it does not resort to the assumption of any particular distribution function, the technique can be applied to all the circuits irrespective of their power distributions

Published in:

Custom Integrated Circuits Conference, 1996., Proceedings of the IEEE 1996

Date of Conference:

5-8 May 1996