Intelligent Computing and Signal Processing in Electronics Multimedia

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

Deadline for manuscript submissions: 15 May 2026 | Viewed by 83

Special Issue Editors

School of Cyber Science and Technology, University of Science and Technology of China, Hefei 230052, China
Interests: multimedia computing; wireless intelligent sensing; RF-based human sensing

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Guest Editor
Institute of Electronic Engineering, China Academy of Engineering Physics (CAEP), Mianyang 621900, China
Interests: lightweight model; object detection; wireless sensing

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Guest Editor
School of Electronic Information, Wuhan University, Wuhan 430072, China
Interests: signal processing; artificial intelligence
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Special Issue Information

Dear Colleagues,

The integration of intelligent computing and advanced signal processing is transforming electronic multimedia systems across sensing, communication, and interactive applications. This Special Issue focuses on novel methods, architectures, and applications that enhance the efficiency, accuracy, and scalability of multimedia intelligence. Key research areas include multimodal perception and data fusion; edge, cloud, and federated learning; compressive and event-driven sensing; and signal processing techniques for audio, image, video, and 3D data. Emerging directions such as foundation and generative models, immersive media (AR/VR/XR), and low-latency multimedia communication over 5G/6G networks are also of strong interest. Contributions addressing algorithm–hardware co-design, lightweight model deployment, and robustness in real-world multimedia scenarios are particularly relevant. Application fields include smart healthcare, industrial systems, wearable devices, and IoT environments. By bringing together advances from computing, signal processing, and electronic engineering, this Special Issue aims to highlight recent progress and foster interdisciplinary collaboration toward next-generation multimedia electronics.

Dr. Zhi Lu
Dr. Cong Yu
Dr. Haijian Zhang
Guest Editors

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Keywords

  • intelligent computing
  • signal processing
  • multimedia electronics
  • multimodal fusion
  • edge and federated learning
  • event-driven sensing
  • generative models
  • audio–visual understanding
  • hardware–software co-design
  • 5G/6G multimedia systems

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Published Papers (1 paper)

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Research

17 pages, 848 KB  
Article
Robust ENF-Based Inter-Grid Geo-Localization via Real-Time Online Multimedia Data
by Sijin Wu, Haijian Zhang, Shiyu Zuo and Yurao Zhou
Electronics 2025, 14(24), 4905; https://doi.org/10.3390/electronics14244905 (registering DOI) - 13 Dec 2025
Abstract
The electric network frequency (ENF) serves as a vital criterion in geographical localization because its frequency fluctuations remain consistent within the same power grid. However, the performance of existing ENF-based audio geo-localization methods is limited when dealing with real-world scenarios, such as short [...] Read more.
The electric network frequency (ENF) serves as a vital criterion in geographical localization because its frequency fluctuations remain consistent within the same power grid. However, the performance of existing ENF-based audio geo-localization methods is limited when dealing with real-world scenarios, such as short audio durations and noisy environments. Moreover, the size of available ENF data is still small. To address these issues, we propose a novel audio inter-grid geo-localization method utilizing real-time online multimedia data. First, we construct the China-Online-Data dataset using online data, which integrates enhancement and harmonic selection to reduce noise and improve ENF estimation accuracy. Subsequently, we propose an ENF-based Dual-Channel Geo-Localization Network (DC-GLNet), which leverages both time and time-frequency domain information to improve feature extraction and classification performance. Experimental results demonstrate that the proposed method outperforms existing methods, particularly in short audio scenarios, achieving superior accuracy for inter-grid geo-localization. Full article
(This article belongs to the Special Issue Intelligent Computing and Signal Processing in Electronics Multimedia)
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