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Can I read Cellular Neural Networks: Theory on EtoBox?
Cellular Neural Networks: Theory by L.O. Chua; L. Yang is a Engineering article available to read on EtoBox.
What is Cellular Neural Networks: Theory about?
A novel class of information-processing systems called cellular neural networks is proposed. Like a neural network, it is a large-scale nonlinear analog circuit which processes signals in real time. Like cellular automata, it is made of a massive aggregate of regularly spaced circuit clones, called cells, which communicate with each other directly only through its nearest neighbors. Each cell is made of a linear capacitor, a nonlinear voltage-controlled current source, and a few resbtiue linear circuit elements. Cellular neural networks share the best features of both worlds; its continuous time feature allows real-time signal processing found wanting in the digital domain and its local interconnection feature makes it tailor made for VLSI implementation. Cellular neural networks are uniquely suited for high-speed parallel signal processing. Some impressive applications of cellular neural networks to image processing is presented in a companion paper 111.
Who reads Cellular Neural Networks: Theory?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- L.O. Chua; L. Yang
- Published
- 1988
- Language
- EN
- Field
- Engineering (Physical Sciences)