Unification of Continuous- and Discrete-Time CNNS

  • Martin Hänggi
  • George S. Moschytz
Chapter

Abstract

Discrete-time CNNs (DTCNNs) have been considered along with continuous-time CNNs (CTCNNs) both in terms of theory [45] and implementation as sampled-data systems [46]. The most common DTCNN is described by
$$ {x_{ij}}\left[ {k + 1} \right] = \sum\limits_{mn \in {N_{ij}}} {{a_{mn}}\operatorname{sgn} \left( {{x_{mn}}\left[ k \right]} \right) + \sum\limits_{mn \in {N_{ij}}} {{b_{mn}}{u_{mn}} + I} } $$
(5.1)
.

Keywords

Cellular Automaton Phase Plot Static Influence Zero Crossing Delta Operator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2000

Authors and Affiliations

  • Martin Hänggi
    • 1
  • George S. Moschytz
  1. 1.Swiss Federal Institute of TechnologyZurichSwitzerland

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