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武汉大学 [8]

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	Dual-density-based reweighted l(1)-algorithms for a class of l(0)-minimization problems 期刊论文 JOURNAL OF GLOBAL OPTIMIZATION, 2021, 页码: 24 作者: Xu, Jialiang; Zhao, Yun-Bin 收藏 \| 浏览/下载：49/0 \| 提交时间：2021/06/01 Merit functions for sparsity l(0)-minimization Dual-density-based algorithm Strict complementarity Bilevel optimization Convex relaxation
	Infrared patch-tensor model with a new tensor nuclear norm for small target detection in the ground background 会议论文 Chongqing, China, 2020-11-06 作者: Li, Ruimei; Yao, Dalei; Qiu, Yuehong; Bu, Fan; Wang, Li 收藏 \| 浏览/下载：20/0 \| 提交时间：2021/02/05 infrared patch-tensor small target detection tensor robust principal component analysis local prior sparse
	Ion Mobility Spectrometry Spectrum Denoising and Baseline Correction Algorithm by Sparse Representation 期刊论文 SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 卷号: 40, 期号: 1, 页码: 75-79 作者: Zhang Gen-wei; Peng Si-long; Cao Shu-ya; Zhao Jiang; Yang Liu 收藏 \| 浏览/下载：13/0 \| 提交时间：2020/03/30 Ion mobility spectrometry Denoising Baseline correction Sparse representation Iteratively reweighted least squares
	Reweighted Regularized Sparse Recovery for DOA Estimation With Unknown Mutual Coupling 期刊论文 IEEE COMMUNICATIONS LETTERS, 2019, 卷号: 23, 页码: 290-293 作者: Wang, Xianpeng; Meng, Dandan; Huang, Mengxing; Wan, Liantian 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/02 DOA estimation uniform linear array mutual coupling block sparse recovery weighted l(1)-norm penalty
	Fast Iteratively Reweighted Least Squares Minimization for Sparse Recovery 会议论文 23rd IEEE International Conference on Digital Signal Processing, DSP 2018, Shanghai, China, 2018-11-19 作者: Liuy, Kaihui; Wanz, Liangtian; Wangy, Feiyu 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/02 Conjugate gradient method Digital signal processing Inverse problems Recovery Signal reconstruction, Approximate inverse Computationally efficient Faster convergence Iteratively reweighted least squares nesterov's accelerated Sample complexity Sparse recovery Sparse signal recoveries, Least squares approximations
	Fast Iteratively Reweighted Least Squares Minimization for Sparse Recovery 会议论文 2018 IEEE 23RD INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP), 2018-01-01 作者: Liu, Kaihui; Wan, Liangtian; Wang, Feiyu 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/02 Sparse recovery approximate inverse free nesterov's accelerated iteratively reweighted least squares
	Small target detection based on reweighted infrared patch-image model 期刊论文 IET IMAGE PROCESSING, 2018, 卷号: 12, 期号: 1, 页码: 70-79 作者: Guo, Jun; Wu, Yiquan; Dai, Yimian 收藏 \| 浏览/下载：61/0 \| 提交时间：2018/12/12 Object Detection Infrared Imaging Principal Component Analysis Small Target Detection Reweighted Infrared Patch-image Model Infrared Small Target Detection Sparse Background Edges Background Estimation Reweighted Nuclear Norm Nontarget Sparse Points Reweighted Robust Principal Component Analysis Problem Inexact Augmented Lagrangian Multiplier Method Background Clutter Suppression Reweighted l(1) Norm
	Reweighted Infrared Patch-Tensor Model With Both Nonlocal and Local Priors for Single-Frame Small Target Detection 期刊论文 ieee journal of selected topics in applied earth observations and remote sensing, 2017, 卷号: 10, 期号: 8, 页码: 3752-3767 作者: Dai, Yimian; Wu, Yiquan; Wu, YQ 收藏 \| 浏览/下载：51/0 \| 提交时间：2017/09/14 Infrared patch-tensor model infrared small target detection local structure prior nonlocal self-correlation prior reweighted higher order robust principal component analysis
	Sparse diffraction imaging method using an adaptive reweighting homotopy algorithm 期刊论文 JOURNAL OF GEOPHYSICS AND ENGINEERING, 2017, 卷号: 14, 期号: 1, 页码: 26-40 作者: Yu, Caixia; Zhao, Jingtao; Wang, Yanfei; Qiu, Zhen 收藏 \| 浏览/下载：17/0 \| 提交时间：2017/11/17 diffraction imaging sparsity-constraint model homotopy algorithm
	Group-Constrained Maximum Correntropy Criterion Algorithms for Estimating Sparse Mix-Noised Channels 期刊论文 ENTROPY, 2017, 卷号: 19, 期号: 8, 页码: 432 作者: Wang, Yanyan; Li, Yingsong; Albu, Felix; Yang, Rui; Li, YS (reprint author), Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Heilongjiang, Peoples R China. 收藏 \| 浏览/下载：17/0 \| 提交时间：2018/02/28 Sparse Mcc Algorithms Mixed Noise Environment Zero-attracting Technique Norm Penalties

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