By Topic

Combination of interpolation and self-organizing approximation techniques-a new approach to circuit performance modeling

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

2 Author(s)
M. A. Styblinski ; Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA ; S. Aftab

An interpolation scheme (maximally flat quadratic interpolation (MFQI) and an approximation scheme (group method of data handling (GMDH)) are combined to obtain a novel heuristic approximation method. This composite structure overcomes the shortcomings of the individual methods while maintaining their desirable features. The combined method is efficient and much more accurate than either of the two individual schemes. This is the case especially when the functions being approximated are complex within the input variable range specified. Several analog and digital circuit examples, in addition to a variability minimization example for a delay circuit, demonstrate the utility of the proposed approach

Published in:

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems  (Volume:12 ,  Issue: 11 )