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Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 822-836
作者:
Kai Zhang
;
Yawei Li
;
Jingyun Liang
;
Jiezhang Cao
;
Yulun Zhang
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/04/23
Blind image denoising, real image denosing data synthesis, Transformer, image signal processing (ISP) pipeline
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 822-836
作者:
Kai Zhang
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/23
Blind image denoising, real image denosing data synthesis, Transformer, image signal processing (ISP) pipeline
Single Channel Blind Source Separation Under Deep Recurrent Neural Network
期刊论文
Wireless Personal Communications, 2020, 卷号: 115, 期号: 2, 页码: 1277-1289
作者:
He, Jiai
;
Chen, Wei
;
Song, Yuxiao
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  |  
浏览/下载:2/0
  |  
提交时间:2020/12/18
Complex networks
Deep neural networks
Multilayer neural networks
Recurrent neural networks
Wireless sensor networksArray signals
Blind signal processing
Correlation coefficient
Mixed signal
Network structures
Nonlinear signals
Single channel blind source separations
Single channels
Integrating independent component analysis with Hopfield recurrent neural network to estimate the channel of MIMO-OFDM system
会议论文
Las Vegas, NV, United states, August 27, 2018 - August 29, 2018
作者:
Jie, Hao
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  |  
浏览/下载:1/0
  |  
提交时间:2020/11/15
Gain control
Image processing
Independent component analysis
MIMO systems
Orthogonal frequency division multiplexing
Recurrent neural networks
Signal to noise ratio
Channel information
Hopfield recurrent neural networks
Improved HRNN
Independent component analysis(ICA)
MIMO-OFDM systems
Multipath communications
Nonlinear characteristics
Semi-blind estimations
Support vector machine and higher-order cumulants based blind identification for non-linear Wiener models
期刊论文
IET SIGNAL PROCESSING, 2018, 卷号: 12, 页码: 761-769
作者:
Xu, Xiaoping
;
Wang, Feng
;
Qian, Fucai
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  |  
浏览/下载:9/0
  |  
提交时间:2019/11/19
inverse problems
signal processing
higher order statistics
parameter estimation
nonlinear Wiener models
stochastic processes
inverse mapping
first-order statistical property
cyclostationary input signal
blind identification method
regression analysis
support vector machine regression theory
Gaussian random signal
higher-order cumulants principle
support vector machines
A Comprehensive Survey on Blind Source Separation for Wireless Adaptive Processing: Principles, Perspectives, Challenges and New Research Directions
期刊论文
IEEE Access, 2018, 卷号: Vol.6, 页码: 66685-66708
作者:
Zhongqiang Luo
;
Chengjie Li
;
Lidong Zhu
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/02/25
Wireless
communication
Wireless
sensor
networks
Blind
source
separation
Radiofrequency
identification
OFDM
Artificial
intelligence
Adaptive
signal
processing
blind
source
separation
wireless
communication
systems
independent
component
analysis
sparse
component
analysis
bounded
component
analysis
artificial
intelligence
machine
learning
Support vector machine and higher-order cumulants based blind identification for non-linear Wiener models
期刊论文
2018, 卷号: 12, 页码: 761-769
作者:
Xu, Xiaoping
;
Wang, Feng
;
Qian, Fucai
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/12/20
stochastic processes
support vector machines
regression analysis
higher order statistics
inverse problems
parameter estimation
signal processing
nonlinear Wiener models
blind identification method
Gaussian random signal
first-order statistical property
cyclostationary input signal
inverse mapping
parameter estimation
support vector machine regression theory
higher-order cumulants principle
利用稀疏盲源分离方法的叶片裂纹特征提取
期刊论文
振动工程学报, 2017, 卷号: 30, 页码: 510-518
作者:
李宏坤
;
贺长波
;
于刚
;
徐福健
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/02
信号处理 故障特征频率提取 稀疏 欠定盲源分离 叶轮叶片裂纹 signal processing extraction of the fault characteristic frequency sparse underdetermined blind source separation impeller blade crack
A geometrical investigation on the generalized l(p)/l(q) norm for blind deconvolution
期刊论文
SIGNAL PROCESSING, 2017, 卷号: 134, 页码: 63-69
作者:
Jia, Xiaodong
;
Zhao, Ming
;
Buzza, Matt
;
Di, Yuan
;
Lee, Jay
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/26
Sparsity
Minimum entropy deconvolution
Signal processing
Blind deconvolution
Underdetermined blind source separation of adjacent satellite interference based on sparseness
期刊论文
China Communications, 2017, 卷号: Vol.14 No.4, 页码: 140-149
作者:
Li, CJ
;
Zhu, LD
;
Luo, ZQ
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  |  
浏览/下载:5/0
  |  
提交时间:2019/02/25
Time-frequency analysis
Satellites
Algorithm design and analysis
Clustering algorithms
Blind source separation
Signal processing algorithms
adjacent satellite interference
Short Time Fourier Transform
Decision CoordinateSystem
real signal transmission
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