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Proximal Gradient-Based Unfolding for Massive Random Access in IoT Networks
期刊论文
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 卷号: PP, 期号: 99, 页码: 1-1
作者:
Yinan Zou
;
Yong Zhou
;
Xu Chen
;
Yonina C. Eldar
Adobe PDF(1650Kb)
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收藏
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浏览/下载:397/44
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提交时间:2024/07/02
Channel estimation
Computer system recovery
Gradient methods
Internet of things
Neural networks
Signal reconstruction
Signal to noise ratio
Activity detection
Compressed-Sensing
Convergence
Gradient's methods
Joint activity
Joint activity detection and channel estimation
Massive random access
Neural-networks
Proximal gradient unfolding
Random access
Signal processing algorithms
Unfoldings
HARNet: Hierarchical adaptive regression with location recovery for crowd counting
期刊论文
NEUROCOMPUTING, 2022, 卷号: 513, 页码: 329-340
作者:
Zheng, Zhe
;
Ni, Na
;
Xie, Guangping
;
Zhu, Aichun
;
Wu, Yingna
Adobe PDF(3598Kb)
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浏览/下载:307/1
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提交时间:2022/10/28
Convolutional neural networks
Location
Regression analysis
Signal sampling
Convolutional neural network
Crowd counting
Density map estimation
Density maps
Feature pyramid
Hierarchical adaptive regression
Location information
Location recovery
MAP estimation
Pyramid network
Robust Wirtinger Flow Algorithm for Channel Coded Blind Demixing
会议论文
IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, Seoul, Korea, Republic of, May 16, 2022 - May 20, 2022
作者:
Jalali, Amin
;
Shi, Yuanming
;
Ding, Zhi
Adobe PDF(1149Kb)
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浏览/下载:303/0
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提交时间:2022/09/23
Access control
Channel state information
Computer system recovery
Internet of things
Recovery
Signal reconstruction
Blind demixing
De-mixing
Flow algorithm
Forward error correction constraint
Forward error correction codes
Forward error-correction
Multiple user
Signal recovery
Users access
Wirtinger flow
GLOBAL TRAFFIC STATE RECOVERY VIA LOCAL OBSERVATIONS WITH GENERATIVE ADVERSARIAL NETWORKS
会议论文
2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, Barcelona, SPAIN, MAY 04-08, 2020
作者:
Mingcheng He
;
Xiliang Luo
;
Zixin Wang
;
Fuqian Yang
;
Hua Qian
Adobe PDF(1214Kb)
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浏览/下载:188/0
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提交时间:2022/11/08
Intelligent transportation system
ITS
generative adversarial network
GAN
traffic network
Computer system recovery
Intelligent systems
Intelligent vehicle highway systems
Traffic signals
Recovery
Adversarial networks
Communication overheads
Intelligent transportation systems
Local observations
Numerical results
Road intersections
Traffic information
Traffic signal control
On the Performance of Turbo Signal Recovery with Partial DFT Sensing Matrices
期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2015, 卷号: 22, 期号: 10, 页码: 1580-1584
作者:
Junjie Ma
;
Xiaojun Yuan
;
Li Ping
Adobe PDF(418Kb)
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浏览/下载:998/334
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提交时间:2017/07/04
AMP
partial DFT
signal recovery
state evolution
turbo compressed sensing
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