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Special Issue "Information Measures with Applications"
Deadline for manuscript submissions: 15 November 2019.
Classical information measures such as entropy, relative entropy (Kullback–Leibler divergence), and mutual information have found numerous applications in storage, compression, transmission, cryptography, statistics, large deviations, gambling, and physics. However, over the years—arguably starting with the pioneering work of Alfréd Rényi (1921–1970)—other information measures were introduced and studied. Those include Rényi Entropy, Rényi Divergence, f-divergence, Arimoto's mutual information, Sibson's information radius, and others. These new measures typically generalize the classical measures and in some applications provide finer results. In recent years they have also found new applications in guessing, hypothesis testing, error exponents, task encoding, large deviations, etc.
For this Special Issue we solicit original papers presenting new applications of known information measures and new measures with interesting applications.
Prof. Dr. Amos Lapidoth
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Rényi Divergence
- Rényi Entropy
- Arimoto's Mutual Information
- Information Measures
- Information Radius