Variational analog integrated circuit design via symbolic sensitivity analysis

Author

Shi, Guoyong ; Meng, Xiaoxuan

Author_Institution

Sch. of Microelectron., Shanghai Jiao Tong Univ., Shanghai, China

fYear

2009

fDate

24-27 May 2009

Firstpage

3002

Lastpage

3005

Abstract

This paper presents a symbolic AC sensitivity analysis technique using a graph-reduction based symbolic simulator GRASS. Symbolic sum-of-products are derived from a graph reduction process and represented by a binary decision diagram. The GRASS simulator maintains a one-to-one correspondence between the circuit parameters and the simulator symbols, with which differentiating the frequency response with respect to any circuit parameter becomes straightforward. The implementation details of symbolic AC sensitivity are presented and the potential applications are demonstrated.

Keywords

analogue integrated circuits; binary decision diagrams; frequency response; graph theory; integrated circuit design; sensitivity analysis; GRASS; binary decision diagram; frequency response differentiation; graph-reduction-based symbolic simulator; symbolic AC sensitivity analysis technique; symbolic sum-of-product; variational analog integrated circuit design; Analog integrated circuits; Analytical models; Boolean functions; Circuit simulation; Circuit synthesis; Computational modeling; Data structures; Frequency response; Sensitivity analysis; Transfer functions; Analog circuit design; binary decision diagram; design optimization; graph reduction; symbolic AC sensitivity;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on

Conference_Location

Taipei

Print_ISBN

978-1-4244-3827-3

Electronic_ISBN

978-1-4244-3828-0

Type

conf

DOI

10.1109/ISCAS.2009.5118434

Filename

5118434