| Creator |
|
|
|
|
|
| Language |
|
| Publisher |
|
|
|
| Date |
|
| Source Title |
|
| Vol |
|
| Issue |
|
| First Page |
|
| Last Page |
|
| Publication Type |
|
| Access Rights |
|
| JaLC DOI |
|
| Related DOI |
|
| Related URI |
|
| Relation |
|
| Abstract |
This paper studies on the behavior of one-dimensional discrete-time binary cellular neural networks (abbreviated as a 1-D DBCNN). In general cellular neural networks (CNN) are characterized by the A- ...and the B-templates and the threshold value θ.Our final aim is to exhaustively examine the behavior of the 1-D DBCNN with arbitrary A-template, B-template and θ from the viewpoint of signal processing. In this paper we will give some partial solutions to this problem. We first show necessary and sufficient conditions for the system to be stable, and then give several numerical examples to illustrate the above results.show more
|
Export Mendeley
p093