Special Issue "Multidimensional Digital Signal Processing"
Deadline for manuscript submissions: 29 February 2020.
Signal processing, image processing, and video processing are three research and application fields sharing the same background of digital signal processing. Then, they can be considered a common playground for all the scientists and researchers working in knowledge and information extraction from multidimensional data. The advent and widespread use of multi-sensor systems has substantially increased the processing burden and claim for computational aspects in this field, so that often approaches dealing with high dimensionality problems represent a common resource to be able to deal with such a big data problem. Also, novel approaches to information extraction are appearing and becoming more important in this field every day, such as machine learning, deep and convolutional neural networks, and dynamic complex networks approaches to multidimensional signal processing.
The availability of open, remote-sensing databases for Earth observation or the advent of interesting and complex scenarios of the Internet of Things have forced the signal processing community to face new challenging problems in which several sensors with different signal characteristics have to be properly fused to gain complete knowledge in a given application field.
The aim of this Special Issue is to focus on many signal, image, and video processing techniques and possible applications of multi-sensor/multi-technology/multi-dimensional data processing to give a large and complete view of this complex scenario.
Submissions to this Special Issue on ‘’Multidimensional Digital Signal Processing’’ are solicited to represent a snapshot of the field’s development by covering a range of topics that include but are not limited to new methods, algorithms, solutions, and applications in the following areas:
- Adaptive signal processing;
- Biomedical signal processing;
- Communication signal processing;
- Multi-dimensional signal processing;
- Multimedia signal processing;
- Non-linear signal processing;
- Array of sensors signal processing;
- Audio/video complex surveillance systems;
- Action recognition and tracking;
- Complex vision system for SLAM and scene modeling;
- Statistical signal processing;
- Machine learning for signal processing;
- Complex networks in signal processing;
- Real-time algorithms for multidimensional signal processing;
- Hardware that is specific to multidimensional signal processing.
Prof. Dr. Cataldo Guaragnella
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. Electronics 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 1400 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.
- Signal processing
- Signal, image, and video coding
- Pattern recognition
- Multidimensional signal processing
- Computer vision
- Statistical signal processing
- Machine learning
- Deep learning
- Complex networks