The simplicial neural cell and its mixed-signal circuit implementation: an efficient neural-network architecture for intelligent signal processing in portable multimedia applications

This paper introduces a novel neural architecture which is capable of similar performance to any of the 'classic' neural paradigms while having a very simple and efficient mixed-signal implementation which makes it a valuable candidate for intelligent signal processing in portable multimedia applications. The architecture and its realization circuit are described and the functional capabilities of the novel neural architecture called a simplicial neural cell are demonstrated for both regression and classification problems including nonlinear image filtering. Index Terms--Cellular neural networks, feedforward neural networks, image reconstruction, mixed analog-digital integrated circuits, pattern classification, piecewise linear (PWL) approximation.