作者: Xu,Zhixiang1;Liu,Feifeng1;Wang,Zhanze1;Zhang,Shuyao1;Bi,Jiahe1;
出处: 14th China Satellite Navigation Conference, CSNC 2024 Jinan 2024
会议录: Vol.1092 LNEE 132-143
摘要: The Beidou surface deformation measuring radar can realize the three-dimensional deformation measurement of the whole scene by using a single receiver ...
作者: Wang,Chenghao12;Liu,Feifeng12;Hu,Cheng12;Wang,Zhanze12;Xu,Zhixiang12;
出处: 14th China Satellite Navigation Conference, CSNC 2024 Jinan 2024
会议录: Vol.1092 LNEE 85-93
摘要: TomoSAR improves the information dimension of radar image from 2D to 3D, and is widely used in elevation modeling, deformation inversion of infrastruc ...
作者: Li,Xunkai1;Wu,Zhengyu1;Zhang,Wentao2;Zhu,Yinlin3;Li,Rong-Hua1;Wang,Guoren1;
出处: 50th International Conference on Very Large Data Bases, VLDB 2024 Guangzhou 2024
会议录: Vol.17 No.1 41-50
摘要: Federated Graph Learning (FGL) is a distributed machine learning paradigm that enables collaborative training on large-scale subgraphs across multiple ...
作者: Zihan Chen;Xiaolu Zeng;Xiaopeng Yang;Jiarong Zhao;Junbo Gong
出处: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Seoul, Korea, Republic of 2024
关键词: Image resolution;Shape;Data integration;Radar detection;Radar;Radar imaging;Cognition;Data Fusion;Imaging System;Optical Tomography;End-users;Military Service;Generative Adversarial Networks;Low-resolution Images;Penetration Ability;Online Phase;Simulation Results;Deep Neural Network;3D Images;2D Images;Target Image;Synthetic Aperture Radar;Radar Images;Target Information;Real-world Experiments;Target Shape;Time-domain Data;High-resolution Imaging System;Fake Images;Echo Data
摘要: Through-wall radar has been very pertinent to a variety of civilian and military services because of its ability to detect and sense through the wall ...
作者: Yuxin Shen;Manjie Xu;Wei Liang
出处: 2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR) Orlando, FL, USA 2024
关键词: Solid modeling;Visualization;Head;Motion segmentation;Computational modeling;Avatars;Virtual environments;Diffusion Model;Motion Generation;Virtually;Human Behavior;Human Eye;Eye Contact;Head-mounted Display;Gaze Behavior;Gaze Points;Eye Movements;Fixed Point;Head Movements;High-level Features;Semantic Features;Human Motion;Annotated Dataset;Objects In The Scene;Eye-tracking Data;Head Rotation;Smooth Process;Virtual Characters;Gaze Data;Gaze Movements;Virtual Reality Headset;Human Attention;Panoramic Images;Virtual Avatar;Angular Error;Scene Elements;Fine-grained Features
摘要: In humanity’s ongoing quest to craft natural and realistic avatars within virtual environments, the generation of authentic eye gaze behaviors stands ...
作者: Jiancheng Liao;Xiaolu Zeng;Xiaopeng Yang;Zixiang Yin;Junbo Gong
出处: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Seoul, Korea, Republic of 2024
关键词: Adaptation models;Signal processing algorithms;Radar detection;Signal processing;Reflection;Sensors;Data mining;Adaptive Method;Subspace Pursuit;Clutter Mitigation;Wall Clutter;Target Information;Least-squares;Background Information;Vector-based;Background Subtraction;Antenna Array;Output Results;Vector Network Analyzer;Support Set;Alternating Direction Method Of Multipliers;Fourier Basis;Target Echo
摘要: Through-the-wall radar can detect and locate targets behind obstacles, which has been widely applied in various civil and military applications. Howev ...
作者: Anbin Qi;Xiang Xie;Jing Wang
出处: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Seoul, Korea, Republic of 2024
关键词: Measurement;Learning systems;Design methodology;Multitasking;Data models;Vectors;Task analysis;Diffusion Model;Multi-task Model;Variational Autoencoder;Multi-task Learning;Corrupted Data;Objective Metrics;Vector Quantization;Subjective Metrics;Multi-task Learning Method;Normal Distribution;Loss Function;Neural Network;Time Step;Denoising;Gaussian Noise;Diffusion Process;Codebook;Autoregressive Model;Reversible Process;Generative Adversarial Networks;Noise Estimation;Latent Vector;Auxiliary Task;Downsampling Layer;Estimation Network;Subjective Scores;Development Dataset;Sound Effects;Random Gaussian Noise;Rate Set
摘要: It is a common method to quantify the latent in audio generation and then use diffusion models to estimate noise or data from the corrupted data to ge ...
作者: Chunxuan Shi;Yongzhe Li;Ran Tao
出处: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Seoul, Korea, Republic of 2024
关键词: Precoding;Signal processing algorithms;Massive MIMO;Interference;Minimization;Approximation algorithms;Optimization;Interference Exploitation;Convex Optimization;Dual Problem;Fast Solution;Massive Multiple-input Multiple-output;Optimization Problem;Quadratic Function;Efficient Algorithm;Lagrange Multiplier;Antenna Array;Phase Values;Interest In Recent Years;Interference Signal;Decision Threshold;Phase Shift Keying;Non-convex Constraints;Quadratic Constraints;Symbol Error;Constellation Points;Symbol Error Rate;Peak-to-average Power Ratio;Constellation Diagram
摘要: We study the problem of constant-envelope precoding in massive MIMO communications with interference exploitation, whose main challenge lies in the no ...
作者: Liang Xu;Jing Wang;Jianqian Zhang;Xiang Xie
出处: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Seoul, Korea, Republic of 2024
关键词: Codecs;Quantization (signal);Speech coding;Computational modeling;Neural networks;Frequency conversion;Real-time systems;Computational Complexity;Low Complexity;Low Computational Complexity;Audio Codec;Neural Network;Complex Models;Frequency Band;Quantization Error;Quantum;Convolutional Neural Network;Decoding;Long Short-term Memory;Training Stage;Window Length;Acoustic Features;Bitrate;Convolutional Neural Network Layers;Shallow Layers;Latent Features;L1 Loss;Shallow Convolutional Neural Network;Least Significant Bit;Speech Coding;Original Waveform;Encoder Output;Most Significant Bit
摘要: The audio codec is one of the core modules in audio communication for real-time transmission. With the development of neural networks, end-to-end audi ...
作者: Yuxuan Zhen;Chunxuan Shi;Yongzhe Li;Ran Tao
出处: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Seoul, Korea, Republic of 2024
关键词: Simulation;Adaptive filters;Radar;Receivers;Reconfigurable intelligent surfaces;Optimization;Signal to noise ratio;Adaptive Filter;Reconfigurable Intelligent Surface;Dual-function Radar-communication;Waveform Transmission;Mean Square Error;Optimization Problem;Lagrange Multiplier;Radar Receiver;Line-of-sight;Taylor Expansion;Antenna Array;Iterative Solution;Signal-to-interference-plus-noise Ratio;Phase Shift Keying;Channel Vector;Accurate Communication;Symbol Error Rate;Line-of-sight Channel;Virtual Vector
摘要: We study the problem of jointly designing spatial-slow-time unimodular waveforms and receive adaptive filter for dual-function radar communications wi ...
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