Feature Papers in Information Theory

Dear Colleagues,

This Topical Collection aims at assembling high quality and high influential research and review articles in all the fields of Information Theory. The collecion aims to delineate, through selected works, frontier research in Information Theory. Hence, we encourage Editorial Board Members of the Information Theory, Statistical and Probability Section of the Entropy to contribute papers reflecting the latest progress in their research field, or to invite relevant experts and colleagues to do so.

Topics include, but are not limited to:

• Communications and communication networks
• Coding Theory, source coding, coding techniques
• Quantum Information Theory
• Shannon Theory
• Statistical Learning, Machine Learning, and Deep Learning
• Complexity and Cryptography
• Detection and Estimation
• Probability and Statistics
• Information-theoretic signal analysis
• Relevant applications of Information Theory to fields such as health, economy, biology, physiology, climatology, industry, etc.

Dr. Raúl Alcaraz
Prof. Dr. Luca Faes
Prof. Dr. Leandro Pardo
Prof. Boris Ryabko
Guest Editors

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. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the collection website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

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 2600 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.