Fast and Compact 16 by 16 Cellular Neural Network Implementation
Ari Paasio , Adam Dawidziuk , Kari Halonen , Veikko Porra
AbstractThe paper presents a Cellular Neural Network implementation based on a high gain sigmoid operation. The required simplifications to the original theory are described that allow the use of high gain. With this design black and white images can be processed. The basic building blocks in a cell are described. A 16×16 cells network has been designed and processed with 1.2 micron CMOS technology. Measurement results which show the operation of the network are presented.
|Journal series||Analog Integrated Circuits and Signal Processing, ISSN 0925-1030, 1573-1979|
|Keywords in English||bipolar image processing, cellular neural network, Electronic and Computer Engineering, Implementation, signal processing|
|Citation count*||13 (2015-03-03)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.