Results 241 to 250 of about 148,135 (266)

Preliminary study on the feasibility of united compressed sensing with radial acquisition as a routine method for liver dynamic contrast-enhanced examination in elderly patients with malignancy. [PDF]

Insights Imaging
Deng H, Dong X, Zhang Y, Zhou P, He Y, Yang L.   +5 more
europepmc   +1 more source

Cardiac compressed sensing real-time cine for the assessment of left ventricular function: a large sample size analysis. [PDF]

Quant Imaging Med Surg
Wang Z, Wang Z, An J, Yuan Y, Pang J, He Y.   +5 more
europepmc   +1 more source

Compressed Sensing-Based Cine-MRI for Location of Dysphagia and Swallowing Function assessment in Patients with Head and Neck Cancer: A Comparative Study. [PDF]

Dysphagia
Guo X, Ke T, Liu Y, Liao C, Li M.
europepmc   +1 more source

CSMC: A Secure and Efficient Visualized Malware Classification Method Inspired by Compressed Sensing. [PDF]

Sensors (Basel)
Wu W, Peng H, Zhu H, Zhang D.
europepmc   +1 more source

Compressive Sensing for Image Compression and Recovery

, 2015
openaire   +2 more sources

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Compressive sensing: To compress or not to compress

2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011
In this paper, we consider the compressive sensing scheme from the information theory point of view and derive the lower bound of the probability of error for CS when length N of the information vector is large. The result has been shown that, for an i.i.d.
Qilian Liang, Davis Kirachaiwanich
openaire   +2 more sources

Kronecker Compressive Sensing

IEEE Transactions on Image Processing, 2012
Compressive sensing (CS) is an emerging approach for the acquisition of signals having a sparse or compressible representation in some basis. While the CS literature has mostly focused on problems involving 1-D signals and 2-D images, many important applications involve multidimensional signals; the construction of sparsifying bases and measurement ...
Marco F. Duarte, Richard G. Baraniuk
openaire   +3 more sources

In Situ Compressive Sensing [PDF]

2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2007
Compressive sensing (CS) is a framework that exploits the compressible character of most natural signals, allowing the accurate measurement of an m-dimensional real signal u in terms of n«m real measurements v. The CS measurements may be represented in terms of an n×m matrix that defines the linear relationship between v and u.
Lawrence Carin, Ya Xue, Dehong Liu
openaire   +2 more sources

Compressed sensing radar [PDF]

2008 IEEE International Conference on Acoustics, Speech and Signal Processing, 2008
A stylized compressed sensing radar is proposed in which the time-frequency plane is discretized into an N by N grid. Assuming that the number of targets K is small (i.e. KLtN2), then we can transmit a sufficiently ldquoincoherentrdquo pulse and employ the techniques of compressed sensing to reconstruct the target scene.
M.A. Herman, Thomas Strohmer
openaire   +2 more sources