Results 141 to 150 of about 337 (161)

Effect of Feeding Level on Growth and Slaughter Performance, and Allometric Growth of Tissues and Organs in Female Growing Saanen Dairy Goats. [PDF]

Animals (Basel)
Huang J, Jiao S, Fu Y, Zhao W, Diao Q, Ma T, Zhang N.   +6 more
europepmc   +1 more source

Fast and accessible morphology-free functional fluorescence imaging analysis

Berlanga AE, Kang G, Kwok A, Broggini T, Lawlor J, Kuchibhotla K, Kleinfeld D, Mishne G, Charles AS.   +8 more
europepmc   +1 more source

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The Restricted Isometry Property for block diagonal matrices

2011 45th Annual Conference on Information Sciences and Systems, 2011
In compressive sensing (CS), the Restricted Isometry Property (RIP) is a powerful condition on measurement operators which ensures robust recovery of sparse vectors is possible from noisy, undersampled measurements via computationally tractable algorithms.
Han Lun Yap, Michael B Wakin, Christopher J Rozell   +2 more
exaly   +2 more sources

The Group Restricted Isometry Property for Subgaussian Block Diagonal Matrices

2019 IEEE International Symposium on Information Theory (ISIT), 2019
We address the problem of reconstructing group-sparse vectors from compressive measurements acquired via subgaussian block diagonal measurement operators. Such results can be obtained by establishing the so-called group restricted isometry property of the underlying measurement matrix.
Arash Behboodi
exaly   +2 more sources

Restricted Isometry Property on Banded Block Toeplitz Matrices with Application to Multi-Channel Convolutive Source Separation

IEEE Transactions on Signal Processing, 2015
In compressive sensing (CS), the restricted isometry property (RIP) is an important condition on measurement matrices which guarantees the recovery of sparse signals with undersampled measurements. It has been proved in the prior works that both random (e.g., i.i.d.
Richard M Dansereau, Adrian D C Chan
exaly   +2 more sources

Greedy Block Coordinate Descent under Restricted Isometry Property

Mobile Networks and Applications, 2016
Exact support recovery of K-group sparse matrices X from the multiple measurement vectors (MMV) model Y = A X arises from many applications and has been extensively studied. In this paper, we investigate the restricted isometry property (RIP) based condition that guarantees exact support recovery of K-group sparse matrices X from the MMV model with ...
Jinming Wen, Fumin Zhu
exaly   +2 more sources

The restricted isometry property of block diagonal matrices generated by φ -sub-Gaussian variables

Communications in Statistics - Theory and Methods
In this paper, we prove the restricted isometry property of block diagonal random matrices with elements from $φ$-sub-Gaussian variables, which extends the previously known results for the sub-Gaussian case. A crucial ingredient of our proof is an improved uniform Hanson-Wright deviation inequality, which should be of independent interest.
Chen, Yiming, Dai, Guozheng, Ding, Kaiti
exaly   +2 more sources

Restricted p-isometry properties of nonconvex block-sparse compressed sensing

Signal Processing, 2014
Yao Wang, Jianjun Wang, Zongben Xu
exaly   +2 more sources

The restricted isometry property of block diagonal matrices generated by φ -sub-Gaussian variables

Communications in Statistics - Theory and Methods
Yiming Chen, Guozheng Dai, Kaiti Ding, Xuanang Hu   +3 more
openaire   +1 more source

New and Improved Johnson–Lindenstrauss Embeddings via the Restricted Isometry Property

SIAM Journal on Mathematical Analysis, 2011
Felix Krähmer, Rachel Ward
exaly