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Efficient description of the design space of analog circuits
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 40th annual Design Automation Conference table of contents
Anaheim, CA, USA
SESSION: Analog design space exploration table of contents
Pages: 970 - 973  
Year of Publication: 2003
ISBN:1-58113-688-9
Author
Maria del Mar Hershenson  Barcelona Design, Inc., Newark, CA
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 6,   Downloads (12 Months): 24,   Citation Count: 5
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ABSTRACT

In this paper we present a method for determining the feasible set of analog design problems and we propose an efficient method for their verification. The verification method presented relies on the formulation of the analog circuit design problem as a convex optimization problem in both the design variables and the performance specifications. Since the design is convex not only in the design variables but also in the specification parameters, we observe that the feasible sets are convex and points at the boundary can be found by solving a single convex optimization problem. We also show that feasible sets can be very well approximated with a polyhedron and therefore defined by a finite set of points. The implication of the latter is that new verifications do not need to be run for every new instantiation of a synthesized analog cell.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Maria del Mar Hershenson: colleagues