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Electronics
Special Issues
Recent Advancements in Signal and Vision Analysis
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Recent Advancements in Signal and Vision Analysis

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 15 June 2024 | Viewed by 775

Special Issue Editors

Dr. Jianji Wang

E-Mail Website
Guest Editor
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an 710049, China
Interests: computer vision; data analysis; signal processing; machine learning
Dr. Meng Yang

E-Mail Website
Guest Editor
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an 710049, China
Interests: machine vision; intelligent systems; multi-modal vision; signal processing

Special Issue Information

Dear Colleagues,

Signal and vision analysis refers to the interdisciplinary domain of research that focuses on extracting meaningful information from signals and images. The field has undergone a remarkable transformation in recent years, fueled by the convergence of powerful computing technologies, sophisticated algorithms, and the increasing availability of visual and signal data.    The Special Issue "Recent Advancements in signal and vision analysis" aims to explore the latest developments in the fields of signal and vision analysis. This Special Issue provides a platform for researchers, scholars, and practitioners to share their cutting-edge research findings, insights, and innovations within the context of signal processing and computer vision. The scope of this Special Issue includes, but is not limited to:

  • Image Processing and Computer Vision: Cutting-edge techniques in image enhancement, feature extraction, object recognition, and computer vision for various applications.
  • Signal Analysis and Machine Learning: Innovations in signal analysis, pattern recognition, and the integration of machine learning and deep learning in signal and image analysis.
  • Medical Imaging and Healthcare Applications: Advancements in medical imaging, healthcare diagnostics, and the impact of signal and vision analysis on patient care.
  • Security and Surveillance Systems: State-of-the-art developments in security and surveillance, including facial recognition, video analysis, and threat detection.
  • Augmented and Virtual Reality: How signal and vision analysis are shaping immersive experiences, augmented reality, virtual reality, and interactive simulations.
  • Industrial Automation: Signal analysis is integral to quality control, predictive maintenance, and process optimization in manufacturing and industrial settings.

We look forward to receiving your contributions.

Dr. Jianji Wang
Dr. Meng Yang
Guest Editors

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 submissions that pass pre-check are 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 semimonthly 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 2400 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.

Keywords

  • image processing and computer vision
  • signal analysis and machine learning
  • medical imaging and healthcare applications
  • security and surveillance systems
  • augmented and virtual reality
  • industrial automation

Published Papers (1 paper)

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Research

19 pages, 2438 KiB  
Article
Secrecy and Throughput Performance of Cooperative Cognitive Decode-and-Forward Relaying Vehicular Networks with Direct Links and Poisson Distributed Eavesdroppers
by Fan Wang, Cuiran Li, Jianli Xie, Lin Su, Yadan Liu and Shaoyi Du
Electronics 2024, 13(4), 777; https://doi.org/10.3390/electronics13040777 - 16 Feb 2024
Viewed by 519
Abstract
Cooperative communication and cognitive radio can effectively improve spectrum utilization, coverage range, and system throughput of vehicular networks, whereas they also incur several security issues and wiretapping attacks. Thus, security and threat detection are vitally important for such networks. This paper investigates the [...] Read more.
Cooperative communication and cognitive radio can effectively improve spectrum utilization, coverage range, and system throughput of vehicular networks, whereas they also incur several security issues and wiretapping attacks. Thus, security and threat detection are vitally important for such networks. This paper investigates the secrecy and throughput performance of an underlay cooperative cognitive vehicular network, where a pair of secondary vehicles communicate through a direct link and the assistance of a decode-and-forward (DF) secondary relay in the presence of Poisson-distributed colluding eavesdroppers and under an interference constraint set by the primary receiver. Considering mixed Rayleigh and double-Rayleigh fading channels, we design a realistic relaying transmission scheme and derive the closed-form expressions of secrecy and throughput performance, such as the secrecy outage probability (SOP), the connection outage probability (COP), the secrecy and connection outage probability (SCOP), and the overall secrecy throughput, for traditional and proposed schemes, respectively. An asymptotic analysis is further presented in the high signal-to-noise ratio (SNR) regime. Numerical results illustrate the impacts of network parameters on secrecy and throughput and reveal that the advantages of the proposed scheme are closely related to the channel gain of the relay link compared to the direct link. Full article
(This article belongs to the Special Issue Recent Advancements in Signal and Vision Analysis)
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