Advancements in Signal Processing: Communications, Sensing and Imaging

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 454

Special Issue Editors


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Guest Editor
Electronic Technology and Reliability Department, Politehnica University of Bucharest, 061071 Bucharest, Romania
Interests: image processing; audio processing; adaptive systems; multimedia forensics; embedded systems; electronic circuits; visible light communications
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Guest Editor
School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland
Interests: software defined networking; Internet of Things; network data analytics; precision agriculture; environmental management
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Guest Editor
Department Electrical Engineering, Universidad de Oviedo, 33204 Gijón, Spain
Interests: switching-mode power converters; the use of wide bandgap semiconductors in power converters; light-emitting diodes drivers for visible light communication and power-supply systems for RF amplifiers
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Special Issue Information

Dear Colleagues,

The rapid evolution of signal processing technology is dramatically reshaping the landscape of communications, sensing, and imaging. The integration of these fields fosters advancements that are set to revolutionize myriad applications, from telecommunications and medical imaging to environmental monitoring and autonomous systems. Signal processing is at the heart of this transformation, enabling more efficient, accurate, and innovative solutions.

The primary aim of this Special Issue is to present original, high-quality research that explores both theoretical developments and practical implementations in the realms of communications, sensing, and imaging. We seek to highlight cutting-edge research and novel applications and provide new insights that could spur future innovations and address emerging challenges in the field.

The topics of interest include, but are not limited to:

  • Advanced communication systems and networks, including 5G/6G and beyond;
  • Machine learning and other AI topics in signal processing for communications, sensing, and imaging;
  • Signal processing techniques for wireless communications;
  • Sensing technologies for smart environments and IoT applications;
  • Innovative imaging techniques, including medical and industrial applications;
  • Noise reduction, filtering, and signal enhancement methods;
  • Data fusion techniques for multi-sensor systems;
  • Security and privacy issues in communication and sensing systems;
  • Signal processing for biomedical applications, including imaging and wearable sensors;
  • Advances in optical and quantum signal processing;
  • Visible Light Communications (VLCs) and Optical Camera Communications (OCCs);
  • Adaptive systems and multimedia applications;
  • Software-defined networking and network data analytics;
  • Precision agriculture and environmental management systems;
  • Power-efficient circuits for signal processing, communications, sensing, and imaging.

This Special Issue will serve as a platform for researchers and practitioners to disseminate their latest findings and discuss innovative ideas. We invite you to contribute your work and share your advancements with the broader scientific community.

Submit your manuscripts and be a part of this exciting exploration into signal processing advancements across diverse and impactful domains.

Dr. Robert Alexandru Dobre
Dr. Declan T. Delaney
Dr. Juan Rodríguez Méndez
Guest Editors

Manuscript Submission Information

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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

  • signal processing
  • communications
  • sensing
  • imaging
  • wireless communications
  • IoT
  • visible light communications (VLCs)
  • machine learning
  • data fusion
  • biomedical imaging

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Published Papers (1 paper)

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Research

22 pages, 819 KiB  
Article
Detection-Aided Ordering for LMMSE-ISIC in MIMO Systems
by Sangjoon Park
Electronics 2025, 14(6), 1235; https://doi.org/10.3390/electronics14061235 - 20 Mar 2025
Viewed by 174
Abstract
In this paper, the detection-aided ordering schemes are proposed for linear minimum mean-squared-error (LMMSE) iterative soft interference cancellation (ISIC) in multiple-input multiple-output (MIMO) systems. Unlike the conventional LMMSE-ISIC ordering schemes that utilize the channel state information (CSI) only, the proposed ordering schemes utilize [...] Read more.
In this paper, the detection-aided ordering schemes are proposed for linear minimum mean-squared-error (LMMSE) iterative soft interference cancellation (ISIC) in multiple-input multiple-output (MIMO) systems. Unlike the conventional LMMSE-ISIC ordering schemes that utilize the channel state information (CSI) only, the proposed ordering schemes utilize the receive signal vector and CSI for the ordering procedure. Then, for each candidate symbol, the sum of the likelihoods except the largest likelihood is calculated to estimate the reliability of the candidate symbol, where the likelihoods are calculated by the LMMSE or LMMSE-ISIC detection-aided ordering procedure. Thus, the proposed ordering schemes can provide a significantly more accurate ordering result than the conventional ordering schemes. As the detection-aided ordering schemes, non-iterative and iterative ordering schemes are proposed, and the constrained iterative ordering scheme is also proposed to resolve the high computational complexity of the original iterative ordering scheme. Numerical simulation results verify that the proposed detection-aided ordering schemes outperform the conventional ordering schemes in terms of convergence speed and error performance. Full article
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