SAM-P5.6

MULTISPECTRAL RF IMAGING USING MULTIPLE NARROW-BAND FMCW SIGNALS

Ziyu Zhou, Wei Dai, Imperial College London, United Kingdom of Great Britain and Northern Ireland

Session:
SAM-P5: Multi-sensor and multichannel signal processing Poster

Track:
Sensor Array and Multichannel Signal Processing

Location:
Poster Zone 2A
Poster Board PZ-2A.6

Presentation Time:
Fri, 19 Apr, 13:10 - 15:10 (UTC +9)

Session Chair:
Maria Sabrina Greco, University of Pisa
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Presentation
Discussion
Resources
Session SAM-P5
SAM-P5.1: LOW-RANK CONSTRAINED MULTICHANNEL SIGNAL DENOISING CONSIDERING CHANNEL-DEPENDENT SENSITIVITY INSPIRED BY SELF-SUPERVISED LEARNING FOR OPTICAL FIBER SENSING
Noriyuki Tonami, NEC Corporation, Japan; Wataru Kohno, NEC Laboratories America, Inc., Japan; Sakiko Mishima, Yumi Arai, Reishi Kondo, Tomoyuki Hino, NEC Corporation, Japan
SAM-P5.2: PREDICTING FALL EVENTS BY A SPATIO-TEMPORAL TOPOLOGICAL NETWORK WITH MULTIPLE WEARABLE SENSORS
Xiaohu Li, Jiawei Liu, Guorui Liao, Chongqing University, China; Mingrui Yin, Zhejiang University, China; Shu Wang, Southwest University, China; Guoxin Su, University of Wollongong, Australia; Jun Liao, Li Liu, Chongqing University, China
SAM-P5.3: PRIVACY-PRESERVING DISTRIBUTED OPTIMISATION USING STOCHASTIC PDMM
Sebastian Jordan, Delft University of Technology, Netherlands; Qiongxiu Li, Tsinghua University, China; Richard Heusdens, Delft University of Technology/Netherlands Defence Academy, Netherlands
SAM-P5.4: MULTI-VIEW SPECTROGRAM TRANSFORMER FOR RESPIRATORY SOUND CLASSIFICATION
Wentao He, Yuchen Yan, Jianfeng Ren, Ruibin Bai, University of Nottingham Ningbo China, China; Xudong Jiang, Nanyang Technological University, Singapore
SAM-P5.5: A REAL-TIME ACTIVE SPEAKER DETECTION SYSTEM INTEGRATING AN AUDIO-VISUAL SIGNAL WITH A SPATIAL QUERYING MECHANISM
Ilya Gurvich, Ido Leichter, Dharmendar Reddy Palle, Yossi Asher, Alon Vinnikov, Igor Abramovski, Vishak Gopal, Ross Cutler, Eyal Krupka, Microsoft Corporation, Israel
SAM-P5.6: MULTISPECTRAL RF IMAGING USING MULTIPLE NARROW-BAND FMCW SIGNALS
Ziyu Zhou, Wei Dai, Imperial College London, United Kingdom of Great Britain and Northern Ireland
SAM-P5.7: ENABLING ORIENTATION-FREE MMWAVE-BASED VITAL SIGN SENSING WITH MULTI-DOMAIN SIGNAL ANALYSIS
Hanqin Gong, Dongheng Zhang, Jinbo Chen, Yadong Li, Guixin Xu, Yuqin Yuan, Yang Hu, Yan Chen, University of Science and Technology of China, China
SAM-P5.8: A GRAPH NEURAL NETWORK BASED APPROACH FOR FAULT DELINEATION IN SEISMIC DATA USING GRAPH TOTAL VARIATION AND MULTIGRAPH
Patitapaban Palo, Aurobinda Routray, Ritesh Chandra Tewari, IIT Kharagpur, India
SAM-P5.9: REWEIGHTED ATOMIC NORM MINIMIZATION FOR ONE-BIT MULTICHANNEL SPECTRAL COMPRESSED SENSING
Weichao Zheng, Zai Yang, Xi’an Jiaotong University, China
SAM-P5.10: JOINT DOA ESTIMATION AND DISTORTED SENSOR DETECTION UNDER ENTANGLED LOW-RANK AND ROW-SPARSE CONSTRAINTS
Huiping Huang, Chalmers University of Technology, Sweden; Tianjian Zhang, Feng Yin, The Chinese University of Hong Kong, China; Bin Liao, Shenzhen University, China; Henk Wymeersch, Chalmers University of Technology, Sweden
SAM-P5.11: SPARSE, WEIGHT-CONSTRAINED ARRAYS WITH O(N) APERTURE FOR REDUCED MUTUAL COUPLING
Pranav Kulkarni, P. P. Vaidyanathan, California Institute of Technology, United States of America
SAM-P5.12: SPARSE BAYESIAN SYNTHETIC APERTURE PROCESSING BASED DOA ESTIMATION WITH DEFORMED TOWED ARRAYS
Jie Yang, Yixin Yang, Northwestern Polytechnical University, China; Bin Liao, Shenzhen University, China
Contacts