Template design for binary-programmable cellular nonlinear networks

In this paper we show how a binary-programmable cellular nonlinear network can be used for processing black and white templates. When using a binary-programmable network, some templates need to be divided into subtasks that are processed consecutively. We classify templates into groups based on their properties and give general rules as to how the division into subtasks is performed. We also show a cell structure that realizes the binary-programmable model. The cell is modeled with Matlab and selected template simulations are shown.