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Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
Published on: June 27, 2013
Informational entropy of Fourier maps
Amador Menéndez-Velázquez1, Santiago García-Granda
1Instituto de Ciencia de Materiales de Madrid, CSIC, Cantoblanco Ctra de Colmenar Km 15, 28049 Madrid, Spain. amador@icmm.csic.es
Abstract:
An analysis on what is known as the interpretation of Fourier maps has been done from the information theory point of view: determining the nature of the peaks in the map (in order to assign them a suitable scattering factor) and allocating bonds between some of the possible peak pairs. Before interpreting the map, a quantitatively measurable entropy (uncertainty, unknowingness) relating to the molecular structure is known. After the interpretation, this entropy becomes amount of information. This analysis allows us, for the first time in crystallography, to quantify these parameters and analyse the contributions of the different information sources.
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