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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 amenable to sparse or compressible representation... 
3D image reconstruction | Electron tomography | Sparsity | Compressive sampling | Compressed sensing | Microscopy | Technology | Science & Technology | Tomography | Analysis
Journal Article
Signal processing. Image communication, ISSN 0923-5965, 07/2018, Volume 65, pp. 115 - 127
Journal Article
IEEE transactions on vehicular technology, ISSN 1939-9359, 08/2018, Volume 67, Issue 8, pp. 6970 - 6980
Journal Article
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 01/2010, Volume 19, Issue 1, pp. 53 - 63
In this paper, we model the components of the compressive sensing (CS) problem, i.e., the signal acquisition process, the unknown signal coefficients and the model parameters for the signal and noise using the Bayesian framework... 
Algorithm design and analysis | Signal sampling | Reconstruction algorithms | Image sampling | Time measurement | Image reconstruction | Image sensors | relevance vector machine (RVM) | Image coding | Bayesian methods | inverse problems | Signal processing | compressive sensing | sparse Bayesian learning | Compressive sensing | Relevance vector machine (RVM) | Inverse problems | Sparse Bayesian learning | Bayesian statistical decision theory | Usage | Data compression | Analysis
Journal Article
Signal processing, ISSN 0165-1684, 2010, Volume 90, Issue 5, pp. 1402 - 1414
Compressive sensing (CS) techniques offer a framework for the detection and allocation of sparse signals with a reduced number of samples... 
DOA estimation | Compressive sensing | Radar | Sparse arrays | Radar imaging | ISAR | Pulse compression | Airspace surveillance | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Radar systems | Energy consumption | Algorithms | Enrichment | Theorems | Mathematical models | Arrays | Detection | Antennas
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 10/2016, Volume 64, Issue 20, pp. 5437 - 5449
... of allowable measurement vectors. We demonstrate both the limitations and advantages of adaptive sensing in this constrained setting. We prove that for certain 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 | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Usage | Algorithms
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 01/2010, Volume 58, Issue 1, pp. 269 - 280
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-Nyquist signal acquisition... 
Greedy algorithms | fast algorithms | Length measurement | Linear programming | Encoding | Decoding | Sparse matrices | Graphical models | Bayesian methods | Inference algorithms | Bayesian inference | compressive sensing | Belief propagation | Compressive sensing | Fast algorithms | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Bayesian statistical decision theory | Signal processing | Usage | Analysis
Journal Article