A SPECTRAL APPROACH TO THE STUDY OF PROPAGATION PHENOMENA IN CNNs
β Scribed by CIVALLERI, PIER PAOLO; GILLI, MARCO
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 566 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0098-9886
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β¦ Synopsis
The propagation phenomena occurring in cellular neural networks (CNNs) described by a one-dimensional template are investigated using a spectral technique. The CNN is represented as a scalar Lur'e system to which a suitable extension of the describing function technique is applied for predicting the existence and characteristics of spatiotemporal periodic oscillations. It is shown that such a method yields results that are in good agreement with those observed by time simulation of the system.
π SIMILAR VOLUMES
The acoustic propagator is the self-adjoint operator H=&{ } c(x) 2 {, defined in L 2 (Q), where Q R 2 is a band of finite width, given by Q=[(x, z), x # R, 0 z 1]. The wave velocity c depends only on the horizontal coordinate x, and is a measurable bounded function, converging to c \ >0 as x Γ \ .
## Abstract In this paper, the temporal development of small disturbances in a pressureβdriven fluid flow through a channel filled with a saturated porous medium is investigated. The Brinkman flow model is employed in order to obtain the basic flow velocity distribution. Under normal mode assumptio