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

Author

Styblinski, M.A. ; Aftab, Syed

Author_Institution

Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA

Volume

12

Issue

11

fYear

1993

fDate

11/1/1993 12:00:00 AM

Firstpage

1775

Lastpage

1785

Abstract

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

Keywords

VLSI; circuit analysis computing; identification; interpolation; VLSI; analog circuit; circuit analysis; circuit performance modeling; delay circuit; digital circuit; group method of data handling; heuristic approximation method; input variable range; maximally flat quadratic interpolation; self-organizing approximation techniques; variability minimization; Circuit analysis; Circuit optimization; Circuit simulation; Data handling; Delay; Design optimization; Function approximation; Interpolation; SPICE; Very large scale integration;

fLanguage

English

Journal_Title

Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on

Publisher

ieee

ISSN

0278-0070

Type

jour

DOI

10.1109/43.248089

Filename

248089