Stochastic interpolation model scheme for statistical circuit design

Author

Lu, Jin-Qin ; Ogawa, Kimihiro ; Adachi, Takehiko ; Strojwas, Andrzej J.

Author_Institution

Sony Corp., Atsugi, Japan

Volume

1

fYear

1994

fDate

30 May-2 Jun 1994

Firstpage

125

Abstract

In this paper, a stochastic interpolation model (SIM) scheme is proposed to approximate circuit performances for statistical circuit design purpose. First, a parameter estimation technique for SIM construction is presented. Next, a sequential sampling strategy based on variance analysis is described to efficiently fit SIM with the least amount of sample data. Finally, the coefficient of variance is introduced as a new criterion for approximation accuracy check. The effectiveness of presented implementation scheme is demonstrated by several numerical examples as well as a statistical circuit analysis example

Keywords

circuit CAD; circuit analysis computing; integrated circuit design; interpolation; parameter estimation; statistical analysis; approximation accuracy check; circuit performances; coefficient of variance; parameter estimation technique; sequential sampling strategy; statistical circuit analysis; statistical circuit design; stochastic interpolation model scheme; variance analysis; Circuit simulation; Circuit synthesis; Covariance matrix; Function approximation; Input variables; Interpolation; Parameter estimation; Polynomials; Sampling methods; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on

Conference_Location

London

Print_ISBN

0-7803-1915-X

Type

conf

DOI

10.1109/ISCAS.1994.408771

Filename

408771