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.
| Original language | English |
|---|---|
| Pages (from-to) | 93-98 |
| Number of pages | 6 |
| Journal | Research Reports on Information Science and Electrical Engineering of Kyushu University |
| Volume | 7 |
| Issue number | 2 |
| Publication status | Published - Sept 1 2002 |
| Externally published | Yes |
Keywords
- 1-D CNN
- Signal processing
- Stability condition
ASJC Scopus subject areas
- Computer Science(all)
- Electrical and Electronic Engineering