Suchergebnisse - "Signal Processing (eess.SP)"

Zero-shot KWS for children’s speech using layer-wise features from SSL models

Autoren: Subham Kutum Abhijit Sinha Hemant Kumar Kathania et al.

Quelle: Pattern Recognition Letters. 197:304-311

Schlagwörter: Human-Computer Interaction, Signal Processing (eess.SP), FOS: Computer and information sciences, Sound (cs.SD), Sound, Artificial Intelligence (cs.AI), Artificial Intelligence, Audio and Speech Processing (eess.AS), Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering, Audio and Speech Processing, Human-Computer Interaction (cs.HC)

Zugangs-URL: http://arxiv.org/abs/2508.21248

Orthogonal nonnegative matrix factorization with the Kullback–Leibler divergence

Autoren: Jean Pacifique Nkurunziza Fulgence Nahayo Nicolas Gillis

Quelle: Pattern Recognition Letters. 197:353-358

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, FOS: Electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), Electrical Engineering and Systems Science - Signal Processing, Information Retrieval (cs.IR), Computer Science - Information Retrieval, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2410.07786

Equalization-Enhanced Phase Noise: Modeling and DSP-Aware Analysis

Autoren: Sebastian Jung Tim Janz Vahid Aref et al.

Quelle: Journal of Lightwave Technology. 43:9551-9560

Schlagwörter: Signal Processing (eess.SP), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing

Zugangs-URL: http://arxiv.org/abs/2503.13199

Iterative Decoder of Channel-Polarized Multilevel Coding for Data Center Networks

Autoren: Takeshi Kakizaki Masanori Nakamura Fukutaro hamaoka et al.

Quelle: Journal of Lightwave Technology. 43:9536-9542

Schlagwörter: Signal Processing (eess.SP), Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering

Zugangs-URL: http://arxiv.org/abs/2503.19601

Distributed Gossip-GAN for Low-Overhead CSI Feedback Training in FDD mMIMO-OFDM Systems

Autoren: Yuwen Cao Guijun Liu Tomoaki Ohtsuki et al.

Quelle: IEEE Internet of Things Journal. 12:40176-40189

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Artificial Intelligence, Information Theory (cs.IT), Signal Processing, Information Theory, FOS: Electrical engineering, electronic engineering, information engineering

Zugangs-URL: http://arxiv.org/abs/2509.10490

Cooperative UAV-Mounted RISs-Assisted Energy-Efficient Communications

Autoren: Hongyang Pan Yanheng Liu Geng Sun et al.

Quelle: IEEE Transactions on Mobile Computing. 24:11241-11258

Schlagwörter: Signal Processing (eess.SP), Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering

Zugangs-URL: http://arxiv.org/abs/2509.11533

Reconfigurable-Intelligent-Surface-Enabled Green and Secure Offloading for Mobile Edge Computing Networks

Autoren: Tong-Xing Zheng Xinji Wang Xin Chen et al.

Quelle: IEEE Internet of Things Journal. 12:40822-40836

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Information Theory (cs.IT), Signal Processing, Information Theory, FOS: Electrical engineering, electronic engineering, information engineering

Zugangs-URL: http://arxiv.org/abs/2507.16666

On Secure UAV-Aided ISCC Systems

Autoren: Hongjiang Lei Congke Jiang Ki-Hong Park et al.

Quelle: IEEE Internet of Things Journal. 12:40851-40862

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Information Theory (cs.IT), Signal Processing, Information Theory, FOS: Electrical engineering, electronic engineering, information engineering

Zugangs-URL: http://arxiv.org/abs/2506.13137

Edge Large AI Models: Revolutionizing 6G Networks

Autoren: Wang, Zixin Shi, Yuanming Zhou, Yong et al.

Quelle: IEEE Communications Magazine. 63:36-42

Schlagwörter: Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2505.00321

Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities

Autoren: Hu, Senkang Fang, Zhengru Deng, Yiqin et al.

Quelle: IEEE Wireless Communications. 32:228-234

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing

Zugangs-URL: http://arxiv.org/abs/2401.01544

Hierarchical Learning and Computing Over Space-Ground Integrated Networks

Autoren: Jingyang Zhu Yuanming Shi Yong Zhou et al.

Quelle: IEEE Transactions on Mobile Computing. 24:10423-10440

Schlagwörter: Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Distributed, Parallel, and Cluster Computing, FOS: Electrical engineering, electronic engineering, information engineering, Distributed, Parallel, and Cluster Computing (cs.DC), Electrical Engineering and Systems Science - Signal Processing, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2408.14116

GenSC-6G: A Prototype Testbed for Integrated Generative AI, Quantum, and Semantic Communication

Autoren: Arfeto, Brian E. Tariq, Shehbaz Khalid, Uman et al.

Quelle: IEEE Communications Magazine. 63:28-35

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Quantum Physics, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Physical sciences, Electrical Engineering and Systems Science - Signal Processing, Quantum Physics (quant-ph)

Zugangs-URL: http://arxiv.org/abs/2501.09918

You Can Wash Hands Better: Accurate Daily Handwashing Assessment With a Smartwatch

Autoren: Fei Wang Tingting Zhang Xilei Wu et al.

Quelle: IEEE Transactions on Mobile Computing. 24:10900-10913

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, 03 medical and health sciences, 0302 clinical medicine, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2112.06657

Task-Oriented Mulsemedia Communication Using Unified Perceiver and Conformal Prediction in 6G Wireless Systems

Autoren: Hongzhi Guo Ian F. Akyildiz

Quelle: IEEE Transactions on Mobile Computing. 24:9980-9994

Schlagwörter: Signal Processing (eess.SP), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing

Zugangs-URL: http://arxiv.org/abs/2405.08949

Performance Analysis of Joint Antenna Selection and Precoding Methods in Multi-User Massive MISO

Autoren: Xiuxiu Ma Abla Kammoun Mohamed-Slim Alouini et al.

Quelle: IEEE Transactions on Information Theory. 71:8099-8148

Schlagwörter: Signal Processing (eess.SP), Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering

Zugangs-URL: http://arxiv.org/abs/2409.04924

Rydberg Atomic Quantum Receivers for Classical Wireless Communication and Sensing

Autoren: Gong, Tierui Chandra, Aveek Yuen, Chau et al.

Quelle: IEEE Wireless Communications. 32:90-100

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Quantum Physics, Computer Science - Information Theory, Information Theory (cs.IT), FOS: Electrical engineering, electronic engineering, information engineering, FOS: Physical sciences, Electrical Engineering and Systems Science - Signal Processing, Quantum Physics (quant-ph)

Zugangs-URL: http://arxiv.org/abs/2409.14501

Distributionally Robust Optimization for Aerial Multi-Access Edge Computing via Cooperation of UAVs and HAPs

Autoren: Ziye Jia Can Cui Chao Dong et al.

Quelle: IEEE Transactions on Mobile Computing. 24:10853-10867

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Information Theory, Information Theory (cs.IT), FOS: Electrical engineering, electronic engineering, information engineering, Distributed, Parallel, and Cluster Computing (cs.DC), Electrical Engineering and Systems Science - Signal Processing

Zugangs-URL: http://arxiv.org/abs/2506.01972

Event-Based Photometric Bundle Adjustment

Autoren: Shuang Guo Guillermo Gallego

Quelle: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47:9280-9297

Schlagwörter: Signal Processing (eess.SP), FOS: Computer and information sciences, Optimization and Control (math.OC), Optimization and Control, Computer Vision and Pattern Recognition (cs.CV), Signal Processing, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Computer Vision and Pattern Recognition, Robotics, Robotics (cs.RO)

Zugangs-URL: http://arxiv.org/abs/2412.14111

Fast Adaptation for Deep Learning-Based Wireless Communications

Autoren: Wang, Ouya He, Hengtao Zhou, Shenglong et al.

Quelle: IEEE Communications Magazine. 63:158-164

Schlagwörter: Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), Signal Processing (eess.SP), FOS: Computer and information sciences, Emerging Technologies (cs.ET), FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Emerging Technologies, Electrical Engineering and Systems Science - Signal Processing

Zugangs-URL: http://arxiv.org/abs/2409.04302

DISC: A Dataset for Integrated Sensing and Communications in mmWave Systems

Autoren: Pegoraro, Jacopo Saucedo, Pablo Lacruz, Jesus Omar et al.

Quelle: IEEE Communications Magazine. 63:94-100

Schlagwörter: Signal Processing (eess.SP), FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing

Zugangs-URL: http://arxiv.org/abs/2306.09469