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The complexity of nowadays, algorithms in terms of number of lines of codes and cross-relations among processing algorithms that are activated by specific input signals, goes far beyond what the designer can reasonably grasp from the “pencil & paper” analy ...
We present a method that exploits an information theoretic framework to extract optimized audio features using the video information. A simple measure of mutual information (MI) between the resulting audio features and the video ones allows to detect the a ...
Comprehensive two-dimensional gas chromatography (GC×GC) provides nearly complete composition data for some complex mixtures such as petroleum hydrocarbons. However, the potential wealth of physical property information contained in the corresponding two-d ...
In a systematic way, the impact of chaos present in transmitters for chaos based communications is discussed; based on arguments from information theory. Conditions for the optimality of communication systems involving chaos in the transmitter are develope ...
This doctoral thesis examines the value of information in settings, where two or more agents interact. In such situations, contrary to one-person decision problems, a more informative signal is not necessarily more valuable, and it may be profit-maximizing ...
Synaptic transmission in the neocortex is dynamic, such that the magnitude of the postsynaptic response changes with the history of the presynaptic activity. Therefore each response carries information about the temporal structure of the preceding presynap ...
In this paper, we investigate by means of statistical and information-theoretic measures, to what extent sensory-motor coordinated activity can generate and structure information in the sensory channels of a simulated agent interacting with its surrounding ...
A universal construction is an algorithm that transforms any object with a sequential specification into a wait-free and linearizable implementation of that object. This paper presents a novel universal construction algorithm for a message-passing system w ...
The signal processing community is increasingly interested in using information theoretic concepts to build signal processing algorithms for a variety of applications. A general theory on how to apply the mathematical concepts of information theory to the ...
An important branch of computer vision is image segmentation. Image segmentation aims at extracting meaningful objects lying in images either by dividing images into contiguous semantic regions, or by extracting one or more specific objects in images such ...
