Image compressive sensing recovery using adaptively learned sparsifying basis via L0 minimization

J Zhang, C Zhao, D Zhao, W Gao - Signal Processing, 2014 - Elsevier
From many fewer acquired measurements than suggested by the Nyquist sampling theory,
compressive sensing (CS) theory demonstrates that, a signal can be reconstructed with high …
被引用次数：169 相关文章

Image Compressive Sensing Recovery Using Adaptively Learned Sparsifying Basis via L0 Minimization

J Zhang, C Zhao, D Zhao, W Gao - arXiv e-prints, 2014 - ui.adsabs.harvard.edu
From many fewer acquired measurements than suggested by the Nyquist sampling theory,
compressive sensing (CS) theory demonstrates that, a signal can be reconstructed with high …

[引用][C] Image compressive sensing recovery using adaptively learned sparsifying basis via LO minimization

J ZHANG, C ZHAO, D ZHAO, WEN GAO - Signal processing, 2014 - pascal-francis.inist.fr
Image compressive sensing recovery using adaptively learned sparsifying basis via LO
minimization CNRS Inist Pascal-Francis CNRS Pascal and Francis Bibliographic Databases …

Image Compressive Sensing Recovery Using Adaptively Learned Sparsifying Basis via L0 Minimization

J Zhang, C Zhao, D Zhao, W Gao - arXiv preprint arXiv:1404.7566, 2014 - arxiv.org
From many fewer acquired measurements than suggested by the Nyquist sampling theory,
compressive sensing (CS) theory demonstrates that, a signal can be reconstructed with high …

[引用][C] Image compressive sensing recovery using adaptively learned sparsifying basis via L0 minimization

J Zhang, C Zhao, D Zhao, W Gao - Signal Processing, 2014 - cir.nii.ac.jp
Image compressive sensing recovery using adaptively learned sparsifying basis via L0
minimization | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 …

Image compressive sensing recovery using adaptively learned sparsifying basis via L0 minimization

J Zhang, C Zhao, D Zhao, W Gao - Signal Processing, 2014 - infona.pl
From many fewer acquired measurements than suggested by the Nyquist sampling theory,
compressive sensing (CS) theory demonstrates that, a signal can be reconstructed with high …

Image compressive sensing recovery using adaptively learned sparsifying basis via L0 minimization

J Zhang, C Zhao, D Zhao, W Gao - Signal Processing, 2014 - dl.acm.org
From many fewer acquired measurements than suggested by the Nyquist sampling theory,
compressive sensing (CS) theory demonstrates that, a signal can be reconstructed with high …

Image compressive sensing recovery using adaptively learned sparsifying basis via L0 minimization

J Zhang, C Zhao, D Zhao, W Gao - Signal Processing, 2014 - ui.adsabs.harvard.edu
From many fewer acquired measurements than suggested by the Nyquist sampling theory,
compressive sensing (CS) theory demonstrates that, a signal can be reconstructed with high …

Image compressive sensing recovery using adaptively learned sparsifying basis via L0 minimization

J Zhang, C Zhao, D Zhao, W Gao - Signal Processing, 2014 - infona.pl
From many fewer acquired measurements than suggested by the Nyquist sampling theory,
compressive sensing (CS) theory demonstrates that, a signal can be reconstructed with high …

[引用][C] Image compressive sensing recovery using adaptively learned sparsifying basis via LO minimization

J ZHANG, C ZHAO, D ZHAO, WEN GAO - Signal processing, 2014 - Elsevier