Special Issue "Rate-Distortion Theory and Information Theory"
Deadline for manuscript submissions: closed (30 June 2018).
Interests: information theoretic techniques for signal processing and machine learning; lossy source coding; rate distortion theory
Special Issues, Collections and Topics in MDPI journals
Special Issue in Entropy: Data Compression and Complexity
Rate distortion theory has historically received less attention than Channel Capacity, primarily due to the difficulty of crafting physically meaningful, mathematically tractable source models and fidelity criteria. It is the goal of this Special Issue to reemphasize the critical accomplishments of rate distortion theory and to highlight new directions in rate distortion theoretic and information theoretic research. Toward this end, we solicit papers on source models and fidelity criteria for physical sources and the resulting rate distortion bounds, historical perspectives on rate distortion theory, information theoretic techniques in machine learning, information theoretic approaches for biological signal processing, the rate distortion theory impact on lossy source coding, the rate distortion theory of multiple correlated sources, and new directions in rate distortion theoretic and information theoretic research that move beyond the standard independent and identically distributed, Gaussian, and Bernoulli source models.
Prof. Dr. Jerry D. Gibson
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 1800 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.
- source modeling
- fidelity criteria
- rate distortion bounds
- information theoretic signal processing
- information theoretic algorithms for machine learning