Convergence and stability of the FSR CNN model
- 17 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 411-416
- https://doi.org/10.1109/cnna.1994.381640
Abstract
Stability and convergency results are reported for a modified continuous-time CNN model. The signal range of the state variables is equal to the unitary interval, independently of the application, Stability and convergency properties are similar to those of the original model and, for given templates and offset coefficients. The results are generally identical. In addition, robustness and area-efficiency of VLSI implementations are significantly advantageous.Keywords
This publication has 3 references indexed in Scilit:
- A model for VLSI implementation of CNN image processing chips using current-mode techniquesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Cellular neural networks: applicationsIEEE Transactions on Circuits and Systems, 1988
- Cellular neural networks: theoryIEEE Transactions on Circuits and Systems, 1988