Information Theory and Data Compression
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".
Deadline for manuscript submissions: 15 October 2025 | Viewed by 505
Special Issue Editor
Special Issue Information
Dear Colleagues,
Data compression is more critical than ever for enabling our technologies. This Special Issue is geared toward key advancements in this area, with an emphasis on bridging theory and practice.
Topics of interest include, but are not limited to, the following:
- New distortion criteria tailored to tasks like perceptual coding and machine learning;
- Emerging data types such as graphs and point clouds;
- Tradeoffs between compression, distortion, and complexity;
- The interplay between compression and other information processing tasks.
Prof. Dr. Tsachy Weissman
Guest Editor
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 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 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 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.
Keywords
- information theory
- data compression (lossless and lossy)
- compression complexity
- source coding
- coding theory
- distortion
- point clouds
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