Special Issue "Information Theory Applications in Signal Processing"
Deadline for manuscript submissions: closed (15 January 2019)
Information theory plays a fundamental role in the determination of theoretical performance limits for statistical estimation, detection, and compression. Its remarkable history of success during the last few decades has fueled research on information-guided principles for data analysis and signal processing. These dynamic and fast-growing fields have to cope with increasingly complex scenarios and novel applications in component analysis, machine learning, and communications. Hence, there is a need for specific information theoretic criteria and algorithms that work in each of the considered situations and attain a set of desired goals, for instance, an enhancement in the interpretability of the solutions, improvements in performance, robustness with respect to the model uncertainties and possible data perturbations, a reliable convergence for the algorithms and any other kind of theoretical guarantees.
In this Special Issue, we encourage researchers to present their original and recent developments in information theory for advanced methods in signal processing. Possible topics include, but are not limited to, the following:
- Information criteria, divergence measures and algorithms for source separation, independent component analysis, matrix/tensor decompositions, data approximation and completion, low-rank and sparse based methods.
- Applications in machine learning, including supervised and unsupervised methods, data representation, dimensionality reduction, feature extraction, Bayesian approaches and deep learning.
- Applications in statistical signal processing, including parameter estimation, system identification, pattern classification, signal approximation and compressed sensing, signal analysis and restoration.
- Applications in biomedical engineering, speech/audio processing, and communications.
Dr. Sergio Cruces
Dr. Rubén Martín-Clemente
Dr. Wojciech Samek
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.