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Journal Article 6

Year

2021 1

2018 1

2017 2

2015 2

Keywords

Sparsity 3

Approximate greatest common divisor (AGCD) 1

Block compressive sensing 1

Block sparsity 1

Compressed sensing 1

Dictionary learning 1

Dimensionality reduction 1

Double sparsity 1

Frequency modulated continuous wave (FMCW) 1

Geometric changes 1

Greedy algorithm 1

Image registration 1

Inverse synthetic aperture radar (ISAR) 1

Laplacian regularizer 1

Manifold 1

Match-filter-based algorithm 1

Multivariate regression methods 1

Noise 1

Period detection 1

Periodicity analysis 1

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Deformable image registration with geometric changes

Yu LIU,Bo ZHU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10, Pages 829-837 doi: 10.1631/FITEE.1500045

Abstract: Our key contribution is the introduction of a sparsity-inducing norm, which is typically L1 norm regularization

Keywords： Geometric changes Image registration Sparsity Traumatic brain injury (TBI)

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Improving the reconstruction efficiency of sparsity adaptive matching pursuit based on the Wilkinsonmatrix None

Rasha SHOITAN, Zaki NOSSAIR, I. I. IBRAHIM, Ahmed TOBAL

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4, Pages 503-512 doi: 10.1631/FITEE.1601588

Abstract: Sparsity adaptive matching pursuit (SAMP) is a greedy reconstruction algorithm for compressive sensingSAMP reconstructs signals without prior information of sparsity and presents better reconstruction performance

Keywords： Block compressive sensing Sparsity adaptive matching pursuit Greedy algorithm Wilkinson matrix

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AGCD: a robust periodicity analysis method based on approximate greatest common divisor

Juan YU,Pei-zhong LU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6, Pages 466-473 doi: 10.1631/FITEE.1400345

Abstract: However, period detection is a very challenging problem, due to the sparsity and noisiness of observational

Keywords： Periodicity analysis Period detection Sparsity Noise Approximate greatest common divisor (AGCD)

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Laplacian sparse dictionary learning for image classification based on sparse representation Article

Fang LI, Jia SHENG, San-yuan ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11, Pages 1795-1805 doi: 10.1631/FITEE.1600039

Abstract: Our method is based on manifold learning and double sparsity.incorporate the Laplacian weighted graph in the sparse representation model and impose the l1-norm sparsity

Keywords： Sparse representation Laplacian regularizer Dictionary learning Double sparsity Manifold

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Expanding the Scope of Multivariate Regression Approaches in Cross-Omics Research Article

Xiaoxi Hu, Yue Ma, Yakun Xu, Peiyao Zhao, Jun Wang

Engineering 2021, Volume 7, Issue 12, Pages 1725-1731 doi: 10.1016/j.eng.2020.05.028

Abstract: method and its extensions, sparse reduced rank regression and subspace assisted regression with row sparsity

Keywords： Multivariate regression methods Reduced rank regression Sparsity Dimensionality reduction Variable

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Ultra-wideband FMCW ISAR imaging with a large rotation angle based on block-sparse recovery Article

Ke JIN, Tao LAI, Gong-quan LI, Ting WANG, Yong-jun ZHAO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12, Pages 2058-2069 doi: 10.1631/FITEE.1601310

Abstract: Considering the block structure of a signal at high resolution, a block-sparsity adaptive matching pursuitBy matching pursuit and backtracking, a signal with unknown sparsity can be recovered accurately by updating

Keywords： ) Inverse synthetic aperture radar (ISAR) Match-filter-based algorithm Compressed sensing Block sparsity