The data processing inequality and environmental model prediction
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Even at low residue concentrations, persistent organic pollutants (POPs) are of increasing concern all over the world. They include numerous organochlorine pesticides, like hexachlorocyclohexane (HCH), known for its toxicity, lipophilic properties and very ...
Search goals are often too complex or poorly defined to be solved with a single query in a Web-based information environment. In this paper we describe how we use semantic fisheye views (SFEVs) to effectively support opportunistic search and browsing strat ...
People meet in order to interact - disseminating information, making decisions, and creating new ideas. Automatic analysis of meetings is therefore important from two points of view: extracting the information they contain, and understanding human interact ...
The methods for treating experimental data in the isomorphous replacement and anomalous scattering methods of macromolecular phase determination have undergone considerable evolution since their inception 50 years ago. The successive formulations used are ...
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 ...
Sequence recognition performance is often summarised first in terms of the number of hits (H), substitutions (S), deletions (D) and insertions (I), and then as a single statistic by the "word error rate" WER = 100(S D I)/(H S D). While in common use, WER h ...
A scheme of chaotic synchronization based of transmission of information about the state of drive system to driven system wit use of symbolic dynamics formalism is presented. It is shown that the volume of transmitted information necessary to synchronize t ...
Building good sparse approximations of functions is one of the major themes in approximation theory. When applied to signals, images or any kind of data, it allows to deal with basic building blocks that essentially synthesize all the information at hand. ...
We introduce an integrated framework for detecting brain activity from fMRI data, which is based on a spatial discrete wavelet transform. Unlike the standard wavelet-based approach for fMRI analysis, we apply the suitable statistical test procedure in the ...
Chaotic synchronization is treated within the framework of information theory. It is shown that information theory implies fundamental limits to chaotic synchronization in the presence of channel noise. With regard for these limits, a scheme is suggested f ...