Bit-Serial Approach Moves DT-CNN into Real-Time

The Cellular Neural Network provides an interesting template for non-linear signal processing. It is essentially based on 2nd-order (reaction / diffusion) differential equations. Harrer and Nossek have introduced the discrete-time equivalent that paves the ground for digital implementation. The interconnect requirements seem to have made it impossible to realistically implement this model. More than emulation is not possible for a network based on word-serial communication. In this paper, it is discussed that a bit-serial communication scheme brings a more realistic implementation. Furthermore, using also bit-serial techniques within each node permits to decrease the footprint and therefore makes a 2-level network for the direct implementation of reaction / diffusion mechanism possible