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Volunteer Power Through Noisy Gradients and Self-Organization: What About Pruning? [From the Editor] IEEE Signal Proc. Mag. (IF 9.4) Pub Date : 2024-08-20 Tülay Adali
In the first issue of 2024, we introduced the new lead editorial team of IEEE Signal Processing Magazine ( SPM ), composed of our four area editors. Their terms started with mine this January, and they oversee the Society e-newsletter and the three main components of our magazine: feature articles, special issues, and columns and forum articles. As a team, we have undertaken a complete revision of
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Meeting the Challenges of a Growing ICASSP: Highlights from ICASSP 2024 [Conference Highlights] IEEE Signal Proc. Mag. (IF 9.4) Pub Date : 2024-08-20 Hanseok Ko, Monson Hayes, John Hansen
When we set out to host ICASSP 2024, in Seoul, South Korea, we had three goals in mind: organize an outstanding technical program, provide an excellent and engaging venue to foster meetings to exchange ideas, and deliver the most welcoming experience to our attendees. With the hard work and commitment from the outstanding organizing committee (OC), we were able to achieve these goals. The culturally
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Hypercomplex Signal and Image Processing: Part 2 [From the Guest Editors] IEEE Signal Proc. Mag. (IF 9.4) Pub Date : 2024-08-20 Nektarios A. Valous, Eckhard Hitzer, Salvatore Vitabile, Swanhild Bernstein, Carlile Lavor, Derek Abbott, Maria Elena Luna-Elizarrarás, Wilder Lopes
Hypercomplex signal and image processing extends upon conventional methods by using hypercomplex numbers in a unified framework for algebra and geometry. The special issue is divided into two parts and is focused on current advances and applications in computational signal and image processing in the hypercomplex domain. The first part offered well-rounded coverage of the field, with seven articles
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An Invitation to Hypercomplex Phase Retrieval: Theory and applications [Hypercomplex Signal and Image Processing] IEEE Signal Proc. Mag. (IF 9.4) Pub Date : 2024-08-20 Roman Jacome, Kumar Vijay Mishra, Brian M. Sadler, Henry Arguello
Hypercomplex signal processing (HSP) provides state-of-the-art tools to handle multidimensional signals by harnessing the intrinsic correlation of the signal dimensions through Clifford algebra. Recently, the hypercomplex representation of the phase retrieval (PR) problem, wherein a complex-valued signal is estimated through its intensity-only projections, has attracted significant interest. The hypercomplex
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Hypercomplex Signal Processing in Digital Twin of the Ocean: Theory and application [Hypercomplex Signal and Image Processing] IEEE Signal Proc. Mag. (IF 9.4) Pub Date : 2024-08-20 Zhaoyuan Yu, Dongshuang Li, Pei Du, Wen Luo, Kit Ian Kou, Uzair Aslam Bhatti, Werner Benger, Guonian Lv, Linwang Yuan
The digital twin of the ocean (DTO) is a groundbreaking concept that uses interactive simulations to improve decision-making and promote sustainability in earth science. The DTO effectively combines ocean observations, artificial intelligence (AI), advanced modeling, and high-performance computing to unite digital replicas, forecasting, and what-if scenario simulations of the ocean systems. However
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Understanding Vector-Valued Neural Networks and Their Relationship With Real and Hypercomplex-Valued Neural Networks: Incorporating intercorrelation between features into neural networks [Hypercomplex Signal and Image Processing] IEEE Signal Proc. Mag. (IF 9.4) Pub Date : 2024-08-20 Marcos Eduardo Valle
Despite the many successful applications of deep learning models for multidimensional signal and image processing, most traditional neural networks process data represented by (multidimensional) arrays of real numbers. The intercorrelation between feature channels is usually expected to be learned from the training data, requiring numerous parameters and careful training. In contrast, vector-valued
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Demystifying the Hypercomplex: Inductive biases in hypercomplex deep learning [Hypercomplex Signal and Image Processing] IEEE Signal Proc. Mag. (IF 9.4) Pub Date : 2024-08-20 Danilo Comminiello, Eleonora Grassucci, Danilo P. Mandic, Aurelio Uncini
Hypercomplex algebras have recently been gaining prominence in the field of deep learning owing to the advantages of their division algebras over real vector spaces and their superior results when dealing with multidimensional signals in real-world 3D and 4D paradigms. This article provides a foundational framework that serves as a road map for understanding why hypercomplex deep learning methods are
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Augmented Statistics of Quaternion Random Variables: A lynchpin of quaternion learning machines [Hypercomplex Signal and Image Processing] IEEE Signal Proc. Mag. (IF 9.4) Pub Date : 2024-08-20 Clive Cheong Took, Sayed Pouria Talebi, Rosa Maria Fernandez Alcala, Danilo P. Mandic
Learning machines for vector sensor data are naturally developed in the quaternion domain and are underpinned by quaternion statistics. To this end, we revisit the “augmented” representation basis for discrete quaternion random variables (RVs) ${\bf{q}}^{a}[n]$ , i.e., ${[}{\bf{q}}{[}{n}{]}\;{\bf{q}}^{\imath}{[}{n}{]}\;{\bf{q}}^{\jmath}{[}{n}{]}{\bf{q}}^{\kappa}{[}{n}{]]}$ , and demonstrate its pivotal
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Quaternion Neural Networks: A physics-incorporated intelligence framework [Hypercomplex Signal and Image Processing] IEEE Signal Proc. Mag. (IF 9.4) Pub Date : 2024-08-20 Akira Hirose, Fang Shang, Yuta Otsuka, Ryo Natsuaki, Yuya Matsumoto, Naoto Usami, Yicheng Song, Haotian Chen
Why quaternions in neural networks (NNs)? Are there quaternions in the human brain? “No” may be an ordinary answer. However, quaternion NNs (QNNs) are a powerful framework that strongly connects artificial intelligence (AI) and the real world. In this article, we deal with NNs based on quaternions and describe their basics and features. We also detail the underlying ideas in their engineering applications
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Deep Hypercomplex Networks for Spatiotemporal Data Processing: Parameter efficiency and superior performance [Hypercomplex Signal and Image Processing] IEEE Signal Proc. Mag. (IF 9.4) Pub Date : 2024-08-20 Alabi Bojesomo, Panos Liatsis, Hasan Al Marzouqi
Hypercomplex numbers, such as quaternions and octonions, have recently gained attention because of their advantageous properties over real numbers, e.g., in the development of parameter-efficient neural networks. For instance, the 16-component sedenion has the capacity to reduce the number of network parameters by a factor of 16. Moreover, hypercomplex neural networks offer advantages in the processing
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New Society Officer Elected [Society News] IEEE Signal Proc. Mag. (IF 9.4) Pub Date : 2024-08-20
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
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New Society Editors-in-Chief Named for 2025 [Society News] IEEE Signal Proc. Mag. (IF 9.4) Pub Date : 2024-08-20
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
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Editorial: Third Quarter 2024 IEEE Communications Surveys and Tutorials IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-08-22 Dusit Niyato
I welcome you to the third issue of the IEEE Communications Surveys and Tutorials in 2024. This issue includes 19 papers covering different aspects of communication networks. In particular, these articles survey and tutor various issues in “Wireless Communications”, “Cyber Security”, “Network Virtualization”, “Vehicular and Sensor Communications”, “Multimedia Communications”, “Network and Service Management
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Lifetime Reliability Aware Distributed Estimation and Communication Co-Design for IIoT Systems IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-22 Peizhe Li, Cheng Ren, Cailian Chen, Shanying Zhu, Yehan Ma, Xinping Guan
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Distributed Self-Triggered Control of Islanded Microgrids Under Switching Communication Topologies IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-22 Masoud Zare Shahabadi, Hajar Atrianfar, Gevork B. Gharehpetian, Atousa Yazdani
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FPGA Adaptive Neural Network Quantization for Adversarial Image Attack Defense IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-22 Yufeng Lu, Xiaokang Shi, Jianan Jiang, Hanhui Deng, Yanwen Wang, Jiwu Lu, Di Wu
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A Fast Kalman Equalizer for Single-Carrier Underwater Acoustic Communication IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-22 Fei-Yun Wu, Hui-Zhong Yang, Yuehai Zhou, Feng Tong
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Multimodal Fusion With Block Term Decomposition for Asynchronous Federated Learning IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-22 Min Gao, Haifeng Zheng, Mengxuan Du, Xinxin Feng
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Domain Generalization Combining Covariance Loss With Graph Convolutional Networks for Intelligent Fault Diagnosis of Rolling Bearings IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-22 Yan Song, Yibin Li, Lei Jia, Yu Zhang
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Accelerated Matrix Completion-Based State Estimation for Unobservable Distribution Networks IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-21 Yanming Zhu, Xiaoyuan Xu, Zheng Yan
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Informatics-Centric Neural Network for Distributed Energy Resources Against Diverse Cyber Threats IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-21 Tossaporn Surinkaew, Thongchart Kerdphol
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A Wearable, Reconfigurable, and Modular Magnetic Tracking System for Wireless Capsule Robots IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-21 Shijian Su, Sishen Yuan, Zhen Li, Yan Ma, Miaomiao Ma, Hongliang Ren
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An Effective Semantic Segmentation Network With Multipath Attention for Industrial Meter Pointer Images IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-20 Dayu Tan, Jinlong Wang, Yansen Su, Zhijun Zhang, Xin Peng, Chunhou Zheng, Weimin Zhong
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Biomimetic Viscoelastic Compliance Control for Self-Balancing Lower Limb Exoskeleton IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-19 Dingkui Tian, Wanxiang Wang, Feng Li, Ziqiang Chen, Yong He, Jinke Li, Li Zhang, Xinyu Wu
Animals, including humans that have muscles with viscoelastic compliance can achieve improved stability. Hence, we investigate a biomimetic control framework with viscoelastic compliance and subsequently apply it to a self-balancing lower limb exoskeleton robot (SBLLER), to ensure stability during locomotion. This article presents a novel biomimetic viscoelastic compliance control framework (VCCF)
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Multidimensional Design Space Exploration for Evolving Manufacturing Systems: Interplay of Deployment, Topology, and Production Planning Architectural Decisions IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-19 Tarik Terzimehić, Daniel Erler, Alois Zoitl
Optimizing evolving manufacturing systems often requires considering the interplay of various architectural design decisions (ADDs), especially at the lower levels of the automation pyramid. Here, decisions about programmable logic controllers, stations, and shop-floor topology directly impact product characteristics. This necessitates a multidimensional design space exploration (DSE) approach that
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Online Detection and Location Scheme for Aged Cable Segment in MMC-HVDC Systems Based on Admittance Spectrum and Compressed Sensing IEEE Trans. Ind. Inform. (IF 11.7) Pub Date : 2024-08-19 Ziyu Wei, Yang Wu, Qiuqiong Lin, Pinjia Zhang
The rapid development of offshore wind power has led to widespread uses of high-voltage direct current (HVdc) transmission systems with long-distance dc cables. The detection and location of aged cable segment is critical for ensuring overall system reliability. As current researches mainly focus on offline location methods, a novel online detection and location scheme for modular multilevel converter
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A Survey on Haptics: Communication, Sensing and Feedback IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-08-14 Melika Emami, Amirhossein Bayat, Rahim Tafazolli, Atta Quddus
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A Survey on Artificial Intelligence Techniques for Improved Rich Media Content Delivery in a 5G and Beyond Network Slicing Context IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-08-14 Fazal E Subhan, Abid Yaqoob, Cristina Hava Muntean, Gabriel-Miro Muntean
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Modeling, Estimation, and Applications of Phase Noise in Wireless Communications: A Survey IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-08-13 Zikai Chang, Yuntao Xu, Junjie Chen, Ning Xie, Yejun He, Hongbin Li
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Intellicise Wireless Networks From Semantic Communications: A Survey, Research Issues, and Challenges IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-08-13 Ping Zhang, Wenjun Xu, Yiming Liu, Xiaoqi Qin, Kai Niu, Shuguang Cui, Guangming Shi, Zhijin Qin, Xiaodong Xu, Fengyu Wang, Yue Meng, Chen Dong, Jincheng Dai, Qianqian Yang, Yaping Sun, Dahua Gao, Hui Gao, Shujun Han, Xiaodan Song
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Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-08-12 Aditya Kulkarni, Vivek Balachandran, Tamal Das
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Artificial Intelligence-Based Cybersecurity for the Metaverse: Research Challenges and Opportunities IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-08-12 Abeer Awadallah, Khouloud Eledlebi, Jamal Zemerly, Deepak Puthal, Ernesto Damiani, Kamal Taha, Tae-Yeon Kim, Paul D. Yoo, Kim-Kwang Raymond Choo, Man-Sung Yim, Chan Yeob Yeun
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Evolution of RAN Architectures Toward 6G: Motivation, Development, and Enabling Technologies IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-04-15 Jiacheng Chen, Xiaohu Liang, Jianzhe Xue, Yu Sun, Haibo Zhou, Xuemin Shen
In this survey paper, we first provide insights on the evolution of radio access networks (RANs) through investigating the existing paradigms and future trends towards 6G. We then present the fully-decoupled RAN (FD-RAN), which aligns with the trends by integrating existing paradigms and introducing new features such as physical decoupling of uplink and downlink base stations. We also discuss the key
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A Human-Centric Metaverse Enabled by Brain-Computer Interface: A Survey IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-04-10 Howe Yuan Zhu, Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen, Chin-Teng Lin
The growing interest in the Metaverse has generated momentum for members of academia and industry to innovate toward realizing the Metaverse world. The Metaverse is a unique, continuous, and shared virtual world where humans embody a digital form within an online platform. Through a digital avatar, Metaverse users should have a perceptual presence within the environment and can interact and control
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Wireless Access for V2X Communications: Research, Challenges and Opportunities IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-04-01 Joseph Clancy, Darragh Mullins, Brian Deegan, Jonathan Horgan, Enda Ward, Ciarán Eising, Patrick Denny, Edward Jones, Martin Glavin
Autonomous vehicles and Intelligent Transport Systems (ITS) have started to become a reality in recent years. However, shortcomings of these early intelligent vehicles demonstrate a need to increase an intelligent vehicle’s perceptual bubble beyond the vehicle’s onboard sensors. Vehicle-to-Everything (V2X) communications is a technology intended to enable intelligent vehicles to increase their perceptive
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Beam Alignment in mmWave V2X Communications: A Survey IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-03-29 Jingru Tan, Tom H. Luan, Wenbo Guan, Yuntao Wang, Haixia Peng, Yao Zhang, Dongmei Zhao, Ning Lu
The digital transformation within the automotive industry is accelerating towards an era dominated by autonomous vehicles, with vehicle-to-everything (V2X) communications being a fundamental enabler for this advancement. As vehicular networks evolve to meet the complex demands of autonomous driving, traditional communication systems encounter limitations in bandwidth and data transfer rates. Millimeter-wave
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Survey on Unified Threat Management (UTM) Systems for Home Networks IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-03-28 Asif Siddiqui, Bhaskar P. Rimal, Martin Reisslein, Yong Wang
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A Tutorial on Radio System-Level Simulations With Emphasis on 3GPP 5G-Advanced and Beyond IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-03-27 Klaus Pedersen, Roberto Maldonado, Guillermo Pocovi, Enric Juan, Mads Lauridsen, István Z. Kovács, Mads Brix, Jeroen Wigard
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Two Decades of Research Progress in Resource Allocation for PLC Systems: From Core Concepts to Frontiers IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-03-25 Yan F. Coutinho, ândrei Camponogara, Mateus de L. Filomeno, Marcello L. R. de Campos, Andrea M. Tonello, Moisés V. Ribeiro
In this paper, we review the current state-of-the-art of resource allocation for power line communication systems. The study systematically presents the advancements achieved in this field over the past decades. To achieve this, we adopt two complementary perspectives: a power line communication-centric view and an optimization-centric view. The former highlights resource allocation within the eye
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A Survey on Blockchain Scalability: From Hardware to Layer-Two Protocols IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-03-18 Gabriel Antonio F. Rebello, Gustavo F. Camilo, Lucas Airam C. de Souza, Maria Potop-Butucaru, Marcelo Dias de Amorim, Miguel Elias M. Campista, Luís Henrique M. K. Costa
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Empowering Cloud Computing With Network Acceleration: A Survey IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-03-14 Lorenzo Rosa, Luca Foschini, Antonio Corradi
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Security Analysis of Critical 5G Interfaces IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-03-13 Mohammed Mahyoub, AbdulAziz AbdulGhaffar, Emmanuel Alalade, Ezekiel Ndubisi, Ashraf Matrawy
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A Survey of Beam Management for mmWave and THz Communications Towards 6G IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-03-12 Qing Xue, Chengwang Ji, Shaodan Ma, Jiajia Guo, Yongjun Xu, Qianbin Chen, Wei Zhang
Communication in millimeter wave (mmWave) and even terahertz (THz) frequency bands is ushering in a new era of wireless communications. Beam management, namely initial access and beam tracking, has been recognized as an essential technique to ensure robust mmWave/THz communications, especially for mobile scenarios. However, narrow beams at higher carrier frequency lead to huge beam measurement overhead
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A Survey on Human Profile Information Inference via Wireless Signals IEEE Commun. Surv. Tutor. (IF 34.4) Pub Date : 2024-03-07 Qiuye He, Edwin Yang, Song Fang
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Letter From the President [President’s Message] IEEE Geosci. Remote Sens. Mag. (IF 16.2) Pub Date : 2024-03-07 Mariko Burgin
Welcome to the IEEE Geoscience and Remote Sensing Society (GRSS) in 2024! I am delighted to serve one more year as the GRSS president and hope we can accomplish great things together. I welcome your thoughts at president@grss-ieee.org, so don’t hesitate to reach out, even just to say hello.
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IEEE GRSS Bombay Chapter Activities [Chapters] IEEE Geosci. Remote Sens. Mag. (IF 16.2) Pub Date : 2024-03-06 Gulab Singh, Baljeet Singh Cheema, Komal Rai
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
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IDEA Day at IGARSS 2023: Advancing diversity and inclusion in the GRSS [Idea Committee] IEEE Geosci. Remote Sens. Mag. (IF 16.2) Pub Date : 2024-03-06 Paula C. B. V. Santos, Margot Flemming, Qian Song, Victoria Vanthof
On 17–21 July 2023, more than 3,000 engineers, geoscientists, and remote sensing enthusiasts from around the world congregated in Pasadena, California, for the 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). The Inspire, Develop, Empower, and Advance (IDEA) Committee led a series of impactful events throughout the week-long conference, centering on themes of driving transformation
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Tech RXIV: Share Your Preprint Research With the World! IEEE Geosci. Remote Sens. Mag. (IF 16.2) Pub Date : 2024-03-06
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Empowerment in Progress: Celebrating the Growth of GRSS’ Women Mentoring Women Program [Idea Committee] IEEE Geosci. Remote Sens. Mag. (IF 16.2) Pub Date : 2024-03-06 Paula Castro Brandão Vaz Dos Santos, Margot Flemming, Vicky Vanthof
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
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High Performance and Disruptive Computing in Remote Sensing: The Third Edition of the School Organized by the HDCRS Working Group of the GRSS Earth Science Informatics Technical Committee [Technical Committees] IEEE Geosci. Remote Sens. Mag. (IF 16.2) Pub Date : 2024-03-06 Gabriele Cavallaro, Dora Blanco Heras, Manil Maskey
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
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International Coordination for Spaceborne Synthetic Aperture Radar: A Personal Impression [Technical Committees] IEEE Geosci. Remote Sens. Mag. (IF 16.2) Pub Date : 2024-03-06 Marwan Younis
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
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SAR Image Analysis—A Computational Statistics Approach: With R Code, Data, and Applications [Book Reviews] IEEE Geosci. Remote Sens. Mag. (IF 16.2) Pub Date : 2024-03-06 Fernando A. Peña-Ramírez
The book SAR Image Analysis—A Computational Statistics Approach: With R Code, Data, and Applications stands out as an exceptional resource dedicated to statistical methodologies to extract information from synthetic aperture radar (SAR) imagery, all within a computational framework using R programming language. The book covers a wide range of topics in 183 pages and seven chapters, including a detailed
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Moving Forward [From the Editor] IEEE Geosci. Remote Sens. Mag. (IF 16.2) Pub Date : 2024-03-06 Paolo Gamba
Let me start this editorial by announcing that I am stepping down from my position of editor-in-chief (EIC) of IEEE Geoscience and Remote Sensing Magazine ( GRSM ) soon. I will provide a short summary of my term in the “From the Editor” column in the next (and my last) GRSM issue. Today, I simply want to highlight that the search for a new EIC is underway, and all the details are available on the webpage
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International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing 2023: A Brief Report [Conference Reports] IEEE Geosci. Remote Sens. Mag. (IF 16.2) Pub Date : 2024-03-06 Thogarcheti Hitendra Sarma, Alejandro C. Frery, Avik Bhattacharya, Nidamanuri Rama Rao, B. S. Daya Sagar
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.