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Automated design of operational transconductance amplifiers using reversed geometric programming
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 41st annual Design Automation Conference table of contents
San Diego, CA, USA
SESSION: Advances in analog circuit and layout synthesis table of contents
Pages: 133 - 138  
Year of Publication: 2004
ISBN:1-58113-828-8
Authors
Johan P. Vanderhaegen  University of California at Berkeley, Berkeley, CA
Robert W. Brodersen  University of California at Berkeley, Berkeley, CA
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 13,   Downloads (12 Months): 41,   Citation Count: 7
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ABSTRACT

We present a method for designing operational amplifiers using reversed geometric programming, which is an extension of geometric programming that allows both convex and non-convex constraints. Adding a limited set of non-convex constraints can improve the accuracy of convex equation-based optimization, without compromising global optimality. These constraints allow increased accuracy for critical modeling equations, such as the relationship between gm and IDS. To demonstrate the design methodology, a folded-cascode amplifier is designed in a [0.18]μm technology for varying speed requirements and is compared with simulations and designs obtained from geometric programming.


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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CITED BY  7

Collaborative Colleagues:
Johan P. Vanderhaegen: colleagues
Robert W. Brodersen: colleagues