arXiv eess.SP Signal Processing
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Reposted by arXiv eess.SP Signal Processing
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Younus, Majlesein, Nacke, Osahon, Pellegrino, Babadi, Tavakkolnia, Helmers, Haas: Multi-Segment Photonic Power Converters for Energy Harvesting and High-Speed Optical Wireless Communication https://arxiv.org/abs/2510.06205 https://arxiv.org/pdf/2510.06205 https://arxiv.org/html/2510.06205
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Jinwen Xu, Qin Lu, Georgios B. Giannakis: Conformalized Gaussian processes for online uncertainty quantification over graphs https://arxiv.org/abs/2510.06181 https://arxiv.org/pdf/2510.06181 https://arxiv.org/html/2510.06181
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Kurt Butler, Guanchao Feng, Petar Djuric: Higher-Order Feature Attribution: Bridging Statistics, Explainable AI, and Topological Signal Processing https://arxiv.org/abs/2510.06165 https://arxiv.org/pdf/2510.06165 https://arxiv.org/html/2510.06165
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Xi Xuan, Xuechen Liu, Wenxin Zhang, Yi-Cheng Lin, Xiaojian Lin, Tomi Kinnunen: WaveSP-Net: Learnable Wavelet-Domain Sparse Prompt Tuning for Speech Deepfake Detection https://arxiv.org/abs/2510.05305 https://arxiv.org/pdf/2510.05305 https://arxiv.org/html/2510.05305
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Li, Zhang, Zeng, Zhang, Xiong, Liu, Hu, Banerjee: Tiny but Mighty: A Software-Hardware Co-Design Approach for Efficient Multimodal Inference on Battery-Powered Small Devices https://arxiv.org/abs/2510.05109 https://arxiv.org/pdf/2510.05109 https://arxiv.org/html/2510.05109
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Shuixin Li, Jiecheng Chen, Qingtang Jiang, Lin Li: Time-reassigned synchrosqueezing frequency-domain chirplet transform for multicomponent signals with intersecting group delay curves https://arxiv.org/abs/2510.06173 https://arxiv.org/pdf/2510.06173 https://arxiv.org/html/2510.06173
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Pubudu L. Indrasiri, Bipasha Kashyap, Pubudu N. Pathirana: Leveraging Vision Transformers for Enhanced Classification of Emotions using ECG Signals https://arxiv.org/abs/2510.05826 https://arxiv.org/pdf/2510.05826 https://arxiv.org/html/2510.05826
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Md Rakibul Mowla, Sukhbinder Kumar, Ariane E. Rhone, Brian J. Dlouhy, Christopher K. Kovach: Efficient Coherence Inference Using the Demodulated Band Transform and a Generalized Linear Model https://arxiv.org/abs/2510.05559 https://arxiv.org/pdf/2510.05559 https://arxiv.org/html/2510.05559
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Alexander James Fernandes, Ioannis Psaromiligkos: Model-based Deep Learning for Joint RIS Phase Shift Compression and WMMSE Beamforming https://arxiv.org/abs/2510.05438 https://arxiv.org/pdf/2510.05438 https://arxiv.org/html/2510.05438
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[2025-10-08 Wed (UTC), 5 new articles found for eessSP Signal Processing]
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Reposted by arXiv eess.SP Signal Processing
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Usman Akram, Yiyue Chen, Haris Vikalo: Federated Self-Supervised Learning for Automatic Modulation Classification under Non-IID and Class-Imbalanced Data https://arxiv.org/abs/2510.04927 https://arxiv.org/pdf/2510.04927 https://arxiv.org/html/2510.04927
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Youngjoon Lee, Seongmin Cho, Yehhyun Jo, Jinu Gong, Hyunjoo Jenny Lee, Joonhyuk Kang: Forecasting-Based Biomedical Time-series Data Synthesis for Open Data and Robust AI https://arxiv.org/abs/2510.04622 https://arxiv.org/pdf/2510.04622 https://arxiv.org/html/2510.04622
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Christian Limberg, Fares Schulz, Zhe Zhang, Stefan Weinzierl: Pitch-Conditioned Instrument Sound Synthesis From an Interactive Timbre Latent Space https://arxiv.org/abs/2510.04339 https://arxiv.org/pdf/2510.04339 https://arxiv.org/html/2510.04339
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Faeze Moradi Kalarde, Ben Liang, Min Dong, Yahia A. Eldemerdash Ahmed, Ho Ting Cheng: Privacy Enhancement in Over-the-Air Federated Learning via Adaptive Receive Scaling https://arxiv.org/abs/2510.03860 https://arxiv.org/pdf/2510.03860 https://arxiv.org/html/2510.03860
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Pedro Ivo da Cruz, Dimitri Silva, Tito Spadini, Ricardo Suyama, Murilo Bellezoni Loiola: Pilot Contamination Attacks Detection with Machine Learning for Multi-User Massive MIMO https://arxiv.org/abs/2510.03831 https://arxiv.org/pdf/2510.03831 https://arxiv.org/html/2510.03831
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Yue wu: A Trustworthy Industrial Fault Diagnosis Architecture Integrating Probabilistic Models and Large Language Models https://arxiv.org/abs/2510.03815 https://arxiv.org/pdf/2510.03815 https://arxiv.org/html/2510.03815
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Shimaa Elbana, Ahmad Kamal, Shahd Ahmed Ali, Ahmad Al-Kabbany: Efficiency vs. Efficacy: Assessing the Compression Ratio-Dice Score Relationship through a Simple Benchmarking Framework for Cer... https://arxiv.org/abs/2510.03769 https://arxiv.org/pdf/2510.03769 https://arxiv.org/html/2510.03769
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Yuan, Gao, Li, Mei, Zadissa, Pruthi, Sereshki: Lightweight and Generalizable Acoustic Scene Representations via Contrastive Fine-Tuning and Distillation https://arxiv.org/abs/2510.03728 https://arxiv.org/pdf/2510.03728 https://arxiv.org/html/2510.03728
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Wei-Lung Mao, Chun-Chi Wang, Po-Heng Chou, Kai-Chun Liu, Yu Tsao: MECKD: Deep Learning-Based Fall Detection in Multilayer Mobile Edge Computing With Knowledge Distillation https://arxiv.org/abs/2510.03601 https://arxiv.org/pdf/2510.03601 https://arxiv.org/html/2510.03601
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Refik Mert Cam, Seonyeong Park, Umberto Villa, Mark A. Anastasio: Application of a Virtual Imaging Framework for Investigating a Deep Learning-Based Reconstruction Method for 3D Quantitative ... https://arxiv.org/abs/2510.03431 https://arxiv.org/pdf/2510.03431 https://arxiv.org/html/2510.03431
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Bathelt, Deutschmann, Rou, Ranasinghe, de Abreu, Vouras: The IEEE Signal Processing Society's Leading Role in Developing Standards for Computational Imaging and Sensing: Part II https://arxiv.org/abs/2510.04913 https://arxiv.org/pdf/2510.04913 https://arxiv.org/html/2510.04913