DocumentCode
3345237
Title
Comparison of symbolic analysis, approximation and macromodeling techniques for statistical design for quality of analog integrated circuits
Author
Styblinski, M.A. ; Qu, Ming
Author_Institution
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume
3
fYear
1995
fDate
30 Apr-3 May 1995
Firstpage
2221
Abstract
A comparison of symbolic analysis, approximation and macromodeling techniques for statistical circuit design is presented in this paper. The applicability of these techniques for statistical design of analog integrated circuits is stressed through practical examples. Difficulties and open problems are also discussed with emphasis on statistical circuit design
Keywords
analogue integrated circuits; circuit analysis computing; circuit optimisation; design for manufacture; integrated circuit design; integrated circuit yield; statistical analysis; tolerance analysis; analog integrated circuits; design for quality; macromodeling techniques; open problems; statistical circuit design; symbolic analysis; tolerance design; yield optimisation; Analog circuits; Analog integrated circuits; Circuit analysis; Circuit optimization; Circuit simulation; Circuit synthesis; Design for quality; Equations; Minimization; SPICE;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location
Seattle, WA
Print_ISBN
0-7803-2570-2
Type
conf
DOI
10.1109/ISCAS.1995.523869
Filename
523869
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