Title :
An adaptive approach to statistical macromodeling of analog integrated circuits
Author :
Qu, Ming ; Styblinski, M.A.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
fDate :
30 Apr-3 May 1995
Abstract :
A generic methodology for adaptive multi-level statistical macromodeling of analog integrated circuits is presented. Three statistical models of an increasing level of complexity are used to model statistical performances of basic building blocks such as Op Amps, and adaptive selection of these models is introduced. Examples of statistical macromodeling are given, showing good accuracy of the proposed approach
Keywords :
analogue integrated circuits; integrated circuit modelling; statistical analysis; Op Amps; adaptive multi-level statistical macromodeling; analog integrated circuits; Analog integrated circuits; Circuit noise; Circuit optimization; Circuit simulation; Filters; Linear approximation; Linear regression; Operational amplifiers; Random variables; Statistical analysis;
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
DOI :
10.1109/ISCAS.1995.523713
