Name
Abstract | ||
|---|---|---|
A fast time-domain simulation technique of plane via two-layer Cellular Neural Network (CNN)-based modeling, which necessary for power/signal integrity evaluation in VLSIs, printed boards, and packages, is presented. Using the new notation expressed the two-layer CNN, 1,553 times faster simulation is achieved, with Berkeley SPICE (ngspice). In CNN community, CNNs are simulated by explicit numerical integration such as the forward Enter Runge-Kutta methods. However, since the two-layer CNN is a stiff we cannot analyze it by using an explicit numerical integration Hence, to analyze the two-layer CNN and reduce the computational the leapfrog method is introduced. This procedure would open an application of CNN to electronic design automation area. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1093/ietfec/e91-a.12.3757 | IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES |
Keywords | Field | DocType |
cellular neural networks, plane circuits, signal/power integrity, leapfrog method | Computer science,Spice,Numerical integration,Signal integrity,Power integrity,Theoretical computer science,Leapfrog integration,Electronic design automation,Electronic circuit,Cellular neural network | Journal |
Volume | Issue | ISSN |
E91A | 12 | 0916-8508 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| yuichi tanji | 1 | 32 | 12.18 |
| Hideki Asai | 2 | 38 | 18.63 |
| Masayoshi Oda | 3 | 2 | 2.19 |
| Yoshifumi Nishio | 4 | 229 | 71.08 |
| Akio Ushida | 5 | 69 | 24.16 |