Combined based on minimum distance orthogonal matching pursuit method for support recovery improvement in super-resolution compressed sensing

2016 4th International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa) ◽

10.1109/cosera.2016.7745740 ◽

2016 ◽

Author(s):

Vinh Nguyen Xuan ◽

Klaus Hartmann ◽

Wolfgang Weihs ◽

Otmar Loffeld

Keyword(s):

Compressed Sensing ◽

Minimum Distance ◽

Matching Pursuit ◽

Super Resolution ◽

Orthogonal Matching Pursuit ◽

Support Recovery

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Super-Resolution Using Regularized Orthogonal Matching Pursuit Based on Compressed Sensing Theory in the Wavelet Domain

2009 Sixth International Conference on Computer Graphics, Imaging and Visualization ◽

10.1109/cgiv.2009.90 ◽

2009 ◽

Cited By ~ 5

Author(s):

Na Fan

Keyword(s):

Compressed Sensing ◽

Matching Pursuit ◽

Super Resolution ◽

Orthogonal Matching Pursuit ◽

Wavelet Domain

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Modified orthogonal matching pursuit for multiple measurement vector with joint sparsity in super-resolution compressed sensing

2017 51st Asilomar Conference on Signals, Systems, and Computers ◽

10.1109/acssc.2017.8335466 ◽

2017 ◽

Cited By ~ 1

Author(s):

Vinh Nguyen Xuan ◽

Klaus Hartmann ◽

Wolfgang Weihs ◽

Otmar Loffeld

Keyword(s):

Compressed Sensing ◽

Matching Pursuit ◽

Super Resolution ◽

Orthogonal Matching Pursuit ◽

Multiple Measurement ◽

Joint Sparsity ◽

Multiple Measurement Vector ◽

Measurement Vector

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Super-Resolution using Regularized Orthogonal Matching Pursuit based on compressed sensing theory in the wavelet domain

2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation - (CIRA) ◽

10.1109/cira.2009.5423200 ◽

2009 ◽

Cited By ~ 2

Author(s):

Tingting Li

Keyword(s):

Compressed Sensing ◽

Matching Pursuit ◽

Super Resolution ◽

Orthogonal Matching Pursuit ◽

Wavelet Domain

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Fast Frequency-Domain Compressed Sensing Analysis for High-Density Super-Resolution Imaging Using Orthogonal Matching Pursuit

IEEE Photonics Journal ◽

10.1109/jphot.2018.2884730 ◽

2019 ◽

Vol 11 (1) ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Saiwen Zhang ◽

Jingjing Wu ◽

Danni Chen ◽

Siwei Li ◽

Bin Yu ◽

...

Keyword(s):

Compressed Sensing ◽

Frequency Domain ◽

Matching Pursuit ◽

Super Resolution ◽

High Density ◽

Orthogonal Matching Pursuit ◽

Resolution Imaging

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Compressed sensing signal recovery via A* Orthogonal Matching Pursuit

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2011.5947162 ◽

2011 ◽

Cited By ~ 6

Author(s):

Nazim Burak Karahanoglu ◽

Hakan Erdogan

Keyword(s):

Compressed Sensing ◽

Matching Pursuit ◽

Orthogonal Matching Pursuit ◽

Signal Recovery

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Support Recovery With Orthogonal Matching Pursuit in the Presence of Noise

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2015.2468676 ◽

2015 ◽

Vol 63 (21) ◽

pp. 5868-5877 ◽

Cited By ~ 38

Author(s):

Jian Wang

Keyword(s):

Matching Pursuit ◽

Orthogonal Matching Pursuit ◽

Support Recovery

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Efficient reconstruction of super-resolution images using an improved orthogonal matching pursuit algorithm

2015 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) ◽

10.1109/icspcc.2015.7338824 ◽

2015 ◽

Author(s):

Xiaofei Yu ◽

Gaoting Zheng ◽

Baixiang Wang

Keyword(s):

Matching Pursuit ◽

Super Resolution ◽

Orthogonal Matching Pursuit ◽

Matching Pursuit Algorithm

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Self-checking Orthogonal Matching Pursuit for Compressed Sensing Signal Reconstruction

Journal of Information and Computational Science ◽

10.12733/jics20103465 ◽

2014 ◽

Vol 11 (8) ◽

pp. 2543-2550

Author(s):

Jingfei He

Keyword(s):

Compressed Sensing ◽

Matching Pursuit ◽

Signal Reconstruction ◽

Orthogonal Matching Pursuit

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A sharp condition for exact support recovery of sparse signals with orthogonal matching pursuit

2016 IEEE International Symposium on Information Theory (ISIT) ◽

10.1109/isit.2016.7541722 ◽

2016 ◽

Cited By ~ 8

Author(s):

Jinming Wen ◽

Zhengchun Zhou ◽

Jian Wang ◽

Xiaohu Tang ◽

Qun Mo

Keyword(s):

Matching Pursuit ◽

Orthogonal Matching Pursuit ◽

Sparse Signals ◽

Sharp Condition ◽

Support Recovery

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Robust reconstruction algorithm for compressed sensing in Gaussian noise environment using orthogonal matching pursuit with partially known support and random subsampling

EURASIP Journal on Advances in Signal Processing ◽

10.1186/1687-6180-2012-34 ◽

2012 ◽

Vol 2012 (1) ◽

Cited By ~ 4

Author(s):

Parichat Sermwuthisarn ◽

Supatana Auethavekiat ◽

Duangrat Gansawat ◽

Vorapoj Patanavijit

Keyword(s):

Compressed Sensing ◽

Gaussian Noise ◽

Matching Pursuit ◽

Reconstruction Algorithm ◽

Orthogonal Matching Pursuit ◽

Noise Environment

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