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清华大学 [14]

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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 收藏 \| 浏览/下载：0/0 \| 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 收藏 \| 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 收藏 \| 浏览/下载：0/0 \| 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 收藏 \| 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 收藏 \| 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
	Identification Method of EMI Sources Based on Measured Single-Channel Signal and its Application in Aviation Secondary Power Source Design 期刊论文 IEEE TRANSACTIONS ON ELECTROMAGNETIC COMPATIBILITY, 2017, 卷号: 59, 页码: 439-446 作者: Xiao, Chunyan; Zhao, Tingting 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/30 Adaptive signal processing amplitude estimation electromagnetic interference (EMI) identification single-channel blind source separation (BSS)

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