SAM-P5: Machine Learning for Signal Processing
Poster
Thu, 7 May, 09:00 - 11:00
Location: Poster Area 34
Session Type: Poster
Track: Signal Processing for Sensing and Communications [SAM] [SC]
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SAM-P5.1: Contrastive Learning-Based Deep Neural Network for Robust DOA Estimation
Tiecheng Ou, Hua Chen, Ningbo University, China; Liping Teng, Nantong University, China; Ahmet M. Elbir, Istinye University, China; Wei Liu, The Hong Kong Polytechnic University, China; Ming Jin, Ningbo University, China

SAM-P5.2: FLIPCON: FLIPPED CONTRASTIVE LEARNING FOR FINE-GRAINED DOA REPRESENTATION
Davin Kim, Hyun-Soo Kim, Da-Hee Yang, Joon-Hyuk Chang, Hanyang University, Korea, Republic of

SAM-P5.3: RFSSM: A Recursive Frequency-Aware State Space Model for Pansharpening
Penglian Gao, Hongwei Ge, Jiangnan University, China; Shuzhi Su, Anhui University of Science and Technology, China

SAM-P5.4: SEMI-SUPERVISED GNN FOR SOUND SOURCE LOCALIZATION WITH PREDICTION INTERVALS
Ohad Michael, Bracha Laufer Goldshtein, Tel Aviv University, Israel

SAM-P5.5: MULTI-SPEAKER DOA ESTIMATION IN BINAURAL HEARING AIDS USING DEEP LEARNING AND SPEAKER COUNT FUSION
Farnaz Jazaeri, University of Ottawa, Canada; François Grondin, Université de Sherbrooke, Canada; Homayoun Kamkar-Parsi, WS Audiology, Germany; Martin Bouchard, University of Ottawa, Canada

SAM-P5.6: SP-UNet: Robust Single-Snapshot DOA Estimation via Signal Manifold Recovery
Zhijun Cao, Chuanyong Lin, Fanliang Bu, People's Public Security University of China, China

SAM-P5.7: Parallax-Aware Spatial Transformer: Fusing Physics and Learning for Terahertz Near-Field Localization
Zhi Zeng, Chong Han, Shanghai Jiao Tong University, China

SAM-P5.8: Joint single-shot ToA and DoA estimation for VAA-based BLE ranging with phase ambiguity: A deep learning-based approach
Jincheng Xie, Yili Deng, Tsinghua University, China; Jiguang He, Great Bay Universityand also with University of Oulu, China; Rui Tang, China West Normal University, China; Pengyu Wang, Tsinghua University, China; Miaomiao Dong, Huawei Technologies Co. Ltd., Hong Kong; Zhongyi Huang, Tsinghua University, China

SAM-P5.9: CaSNet: Compress-and-Send Network Based Multi-Device Speech Enhancement Model for Distributed Microphone Arrays
Chengqian Jiang, Jie zhang, Haoyin Yan, University of Science and Technology of China(USTC), China

SAM-P5.10: END-TO-END EFFICIENT DENOISING FOR RADAR MICRO-DOPPLER SPECTROGRAMS USING FOURIER KOLMOGOROV-ARNOLD NETWORK
Xinhao Huang, Fei Zhou, Shenzhen University, China