Fast and compact 16 by 16 cellular neural network implementation

被引：3

作者：

Paasio, A ^{[1
]}

Dawidziuk, A ^{[1
]}

Halonen, K ^{[1
]}

Porra, V ^{[1
]}

机构：

[1] WARSAW UNIV TECHNOL,PL-00661 WARSAW,POLAND

来源：

ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING | 1997年 / 12卷 / 01期

关键词：

cellular neural network; implementation; bipolar image processing;

D O I：

10.1023/A:1013230918396

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The 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 16x16 cells network has been designed and processed with 1.2 micron CMOS technology. Measurement results which show the operation of the network are presented.

引用

页码：59 / 70

页数：12

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