Name
Title | ||
|---|---|---|
A geometric programming aided knowledge based approach for analog circuit synthesis and sizing |
Abstract | ||
|---|---|---|
A knowledge based approach empowered by geometric programming (GP) for analog circuit synthesis and sizing is presented. Analog circuit performance specification is mapped to various building blocks of a circuit topology. Thereafter the topology is modified according to the design rules in the library. Each modification is validated over two steps. In the first step, dc performances constraints are introduced. If qualified, ac performance constraints are introduced. Validation over two steps helps to gradually close in on input specifications removing any undesired correction made initially, resulting in faster convergence. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1145/1973009.1973096 | ACM Great Lakes Symposium on VLSI |
Keywords | Field | DocType |
faster convergence,input specification,ac performance constraint,undesired correction,analog circuit synthesis,geometric programming,dc performances constraint,analog circuit performance specification,design rule,circuit topology,design rules,geometric,analog circuits,topology,programming,knowledge,knowledge base | Convergence (routing),Computer science,Electronic engineering,Sizing,Circuit performance,Geometric programming,Topology (electrical circuits) | Conference |
Citations | PageRank | References |
2 | 0.39 | 13 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Supriyo Maji | 1 | 3 | 1.09 |
| Pradip Mandal | 2 | 84 | 23.04 |