Title :
The simplicial neural cell and its mixed-signal circuit implementation: an efficient neural-network architecture for intelligent signal processing in portable multimedia applications
Author :
Dogaru, Radu ; Julian, Pedro ; Chua, Leon O. ; Glesner, Manfred
Author_Institution :
Dept. of Appl. Electron. & Inf. Eng., Politehnic Inst. of Bucharest, Romania
fDate :
7/1/2002 12:00:00 AM
Abstract :
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.
Keywords :
cellular neural nets; digital signal processing chips; image classification; image reconstruction; mixed analogue-digital integrated circuits; multimedia systems; neural chips; neural net architecture; statistical analysis; cellular neural networks; classification; feedforward neural networks; image reconstruction; intelligent signal processing; mixed analog-digital integrated circuits; mixed-signal circuit implementation; neural network architecture; nonlinear image filtering; pattern classification; performance; piecewise linear approximation; portable multimedia applications; regression; simplicial neural cell; Application software; Circuits; Feedforward neural networks; Filtering; Neural networks; Piecewise linear techniques; Signal processing; Signal processing algorithms; Support vector machines; Very large scale integration;
Journal_Title :
Neural Networks, IEEE Transactions on
DOI :
10.1109/TNN.2002.1021899
