Computing on silicon with trigger waves: experiments on CNN-UM chips

Author

Rekeczky, Csaba ; Szatmári, István ; Földesy, Péter

Author_Institution

Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary

Volume

3

fYear

2001

fDate

6-9 May 2001

Firstpage

49

Abstract

In this paper, experimental results on Cellular Neural Network Universal Machine (CNN-UM) chips will be presented. These analogic spatio-temporal visual microprocessors make it possible that one can use nonlinear waves as the basic kernels of algorithms solving filtering-reconstruction and/or detection-classification problems. Showing output results from series of experiments it will be demonstrated how trigger waves, the simplest nonlinear waves, can constructively be used in a number of important application areas

Keywords

analogue processing circuits; cellular neural nets; microprocessor chips; neural chips; trigger circuits; CNN-UM chip; Si; algorithm kernel; analog spatio-temporal visual microprocessor; cellular neural network universal machine; detection-classification; filtering-reconstruction; nonlinear wave; silicon computing; trigger wave; Active contours; Automation; Cellular neural networks; Echocardiography; Image reconstruction; Laboratories; Microprocessors; Object detection; Shape; Silicon;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-6685-9

Type

conf

DOI

10.1109/ISCAS.2001.921243

Filename

921243