Efficiency considerations for DT-CNN hardware
Cellular Neural Networks have become a popular paradigm for modeling nonlinear systems. First-hand implementations are in software on floating-point platforms for pure performance, while programmable analog circuitry has been tested for embedded low-power applications. The paper discusses gradual algorithmic and structural improvements that bring efficient digital hardware into consideration. This