By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
C. Rekeczky ; Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary ; I. Szatmari ; P. Foldesy

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

Published in:

Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on  (Volume:3 )

Date of Conference:

6-9 May 2001