Multidimensional Signals Processing
A special issue of Signals (ISSN 2624-6120).
Deadline for manuscript submissions: closed (15 February 2021) | Viewed by 684
Special Issue Editor
Interests: image processing; signal processing; optimization; bio-inspired optimization; image segmentation; contour detection; multidimensional signal processing; tensor signal processing; sensors; array processing; array processing methods; antenna
Special Issue Information
This Special Issue aims at collecting original research papers, reviews, and applicative papers in the field of “Multidimensional Signal Processing” and its applications. This field is currently expanding and related to various topics of applied mathematics, such as optimization, image representation, machine learning for signals, classification, and feature extraction. As concerns algorithms, contributions can be in the following topics: the estimation of parameters characterizing multidimensional data, the denoising of data with tensor methods, the fusion of data coming from different sensors, the nonnegative factorization of multidimensional data, the extraction of features, statistical signal processing, blind source separation from multidimensional signals, and characterization of signal processing systems.
We can emphasize the interest of optimization for the exploitation of multidimensional signals, for instance for the estimation of the best parameters for any processing or for the extraction of underlying parameters.
The applications can consist in array processing, radar data processing, medical image exploitation, biometry, and remote sensing. As concerns the type of data presented in the studies, we may consider multivariate signals with contributions from different polarizations, signals for multiband communication; medical signals provided by various imaging modalities; multidimensional images of faces or palm prints, multispectral images; and multichannel data.
Dr. Julien Marot
Guest Editor
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Keywords
- Multidimensional signals
- Multivariate data representation
- Feature extraction
- Machine learning
- Parameter estimation
- Denoising
- Data fusion
- Non-negative tensor factorization
- Blind source separation
- Optimization
- Array processing
- Radar data processing
- Multiband communication
- Medical signals
- Multispectral images
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