The detection and attribution of long-term patterns in hydrological time series have been important research topics for decades. A significant portion of the literature regards such patterns as… Expand

The uniqueness of the Bernoulli frequency modulated signal, and other chaos-based FM signals, can be exploited to improve the performance of the Synthetic Aperture Radar systems. Recent work suggests… Expand

The book presents an introduction to the analysis of data using neural networks, which includes multilayer feed-forward networks using error back propagation, genetic algorithm-neural network hybrids, generalized regression neural Networks, learning quantizer networks, and self-organizing feature maps.Expand

This paper describes a framework, theoretically based, but relying on extensive interactive computer graphics experimentation, for investigation of the complex dynamics shared by excitable media in a broad spectrum of scientific contexts by focusing on simple mathematical prototypes to obtain a better understanding of the basic organizational principles underlying spatially distributed oscillating systems.Expand

Motivated by problems in the analysis of spatial data, we prove some general Poisson limit theorems for the U-statistics of Hoeffding (1948). The theorems are applied to tests of clustering or… Expand

Abstract We give examples of maps of the interval with zero entropy for which the continuous invariant measure has no dimension, and we prove a dimension property for maps lying in the stable… Expand