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

Volume

13

Issue

4

fYear

2002

fDate

7/1/2002 12:00:00 AM

Firstpage

995

Lastpage

1008

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;

fLanguage

English

Journal_Title

Neural Networks, IEEE Transactions on

Publisher

ieee

ISSN

1045-9227

Type

jour

DOI

10.1109/TNN.2002.1021899

Filename

1021899