Multidimensional Signal Processing: Advanced Technologies and Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".
Deadline for manuscript submissions: 28 February 2024 | Viewed by 112
Interests: multidimensional signal processing; sparse representation; machine learning; Internet of Things; magnetic resonance imaging
Interests: multidimensional signal processing; image processing; deep learning; Internet of Things; compressed sensing
Multidimensional (MD) signal processing is a critical field that deals with the sensing, analysis, processing, and computation of signals with multiple dimensions. With the significant increase in the amount of data and expansive applications, MD signal processing has become a key technique in various domains, including telecommunications, image processing, video processing, speech processing, biomedical signal processing, etc. This Special Issue aims to collect advanced technologies and applications in the area of MD signal processing in various fields: compressed sensing, tensor decomposition, and deep learning algorithms for MD signal; MD image restoration including inpainting, denoising, super-resolution, and so on; MD image classification, recognition, and segmentation; MD computer vision; fast MD magnetic resonance imaging; hyperspectral imaging; big data processing in Internet of Things; and other signal processing of MD data.
Prof. Dr. Jingfei He
Dr. Bowen Zheng
Dr. Nannan Luan
Manuscript Submission Information
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- multidimensional signal processing
- tensor decomposition
- deep learning
- computer vision
- fast imaging
- data reconstruction