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科研机构
西安交通大学 [5]
大连理工大学 [1]
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会议论文 [4]
期刊论文 [2]
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2019 [2]
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Iterative thresholding algorithm based on non-convex method for modified lp-norm regularization minimization
期刊论文
Journal of Computational and Applied Mathematics, 2019, 卷号: 347, 页码: 173-180
作者:
Cui, Angang
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/19
Iterative thresholding
Lp-norm
Minimization problems
Numerical results
Optimization theory
Sparse signal recoveries
Sparse signals
State-of-art methods
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
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  |  
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
DoA estimation based on sparse signal recovery utilizing weighted 1 norm
期刊论文
Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications, 2016, 卷号: 39, 期号: [db:dc_citation_issue], 页码: 33-36 and 66
作者:
Zhao, Ji-Hong
;
Ma, Zhao-Tian
;
Qu, Hua
;
Wang, Wei-Hua
;
Li, Lei-Lei
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  |  
浏览/下载:7/0
  |  
提交时间:2019/12/02
Direction of arrival estimation
Direction of arrivalestimation(DOA)
DOA estimation method
Pre-Treatment
Regularization parameters
Signal-noise ratio
Sparse reconstruction
Sparse signal recoveries
MOEA/D with iterative thresholding algorithm for sparse optimization problems
会议论文
作者:
Li, Hui
;
Su, Xiaolei
;
Xu, Zongben
;
Zhang, Qingfu
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/10
Compressive sensing
Hard/ half thresholding algorithms
Iterative thresholding
Multi-objective optimization problem
Regularization framework
Sparse optimizations
Sparse signal recoveries
Tradeoff solution
Sparse signal recovery based on lq(0 < q ≤ 1) minimization
会议论文
作者:
Wang, Jianjun
;
Yang, Chun-Yun
;
Chen, Baili
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浏览/下载:8/0
  |  
提交时间:2019/12/10
Minimization methods
Recovery capabilities
Sparse signal recoveries
Sparse signals
Data modeling: Visual psychology approach and L1/2regularization theory
会议论文
作者:
Xu, Zongben
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浏览/下载:4/0
  |  
提交时间:2019/12/10
Feature integration
Hierarchical feature extraction
L1 regularizations
Receptive field function
Regularization theory
Sparse signal recoveries
Sparsity problems
Visual psychologies
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