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Journal Article
Applied and Computational Harmonic Analysis, ISSN 1063-5203, 07/2013, Volume 35, Issue 1, pp. 111 - 129
Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals based on randomized dimensionality... 
Spectral estimation | Compressive sensing | Structured sparsity | Redundant frames | MATHEMATICS, APPLIED | PARAMETER-ESTIMATION | ALGORITHM | FINITE RATE | RECOVERY | PURSUIT | SAMPLING SIGNALS | SPARSE SIGNAL RECONSTRUCTION | UNION | Analysis | Algorithms
Journal Article
Ultramicroscopy, ISSN 0304-3991, 08/2013, Volume 131, pp. 70 - 91
The recent mathematical concept of compressed sensing (CS) asserts that a small number of well-chosen measurements can suffice to reconstruct signals that are... 
3D image reconstruction | Electron tomography | Sparsity | Compressive sampling | Compressed sensing | NANOPARTICLES | REDUCTION | IMAGE-RECONSTRUCTION | DECOMPOSITION | MICROSCOPY | STEM | Tomography | Analysis
Journal Article
Signal Processing: Image Communication, ISSN 0923-5965, 07/2018, Volume 65, pp. 115 - 127
Block compressive sensing (BCS) is a highly promising method for image/video encoding in resource-constrained applications. The computational cost of CS... 
Entropy coding | Block compressive sensing | Rate–distortion performance | Uniform quantization | SRM | BPBD | SIGNAL | VIDEO | RECONSTRUCTION | Rate-distortion performance | ENGINEERING, ELECTRICAL & ELECTRONIC | MULTIMEDIA SENSOR NETWORKS | TRANSMISSION | DPCM | QUANTIZATION | Usage | Imaging systems
Journal Article
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 12/2012, Volume 21, Issue 12, pp. 4746 - 4757
Journal Article
ISPRS Journal of Photogrammetry and Remote Sensing, ISSN 0924-2716, 06/2019, Volume 152, pp. 34 - 48
Journal Article
IEEE Transactions on Vehicular Technology, ISSN 0018-9545, 08/2018, Volume 67, Issue 8, pp. 6970 - 6980
Journal Article
Optics and Laser Technology, ISSN 0030-3992, 08/2016, Volume 82, pp. 121 - 133
Most image encryption algorithms based on low-dimensional chaos systems bear security risks and suffer encryption data expansion when adopting nonlinear... 
Hyper-chaotic system | Compressive sensing | Image compression–encryption | Image compression-encryption | PHYSICS, APPLIED | ALGORITHM | INTERFERENCE | CRYPTANALYSIS | OPTICS | MAP | Electrical engineering | Data encryption chips | Algorithms | Data compression | Images | Risk | Nonlinearity | Encryption | Security | Two dimensional | Detection
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 11/2011, Volume 59, Issue 11, pp. 5338 - 5352
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 10/2016, Volume 64, Issue 20, pp. 5437 - 5449
Suppose that we wish to estimate a vector x ∈ C n from a small number of noisy linear measurements of the form y = Ax + z, where z represents measurement... 
Algorithm design and analysis | optimal experimental design | constrained sensing | Noise measurement | adaptive sensing | Atmospheric measurements | Sparsity | Particle measurements | Sensors | information bounds | Compressed sensing | compressive sensing | Signal to noise ratio | SIGNAL RECOVERY | ENGINEERING, ELECTRICAL & ELECTRONIC | Usage | Algorithms
Journal Article