Year |
Citation |
Score |
2020 |
O'Shaughnessy MR, Davenport MA, Rozell CJ. Sparse Bayesian Learning With Dynamic Filtering for Inference of Time-Varying Sparse Signals Ieee Transactions On Signal Processing. 68: 388-403. DOI: 10.1109/Tsp.2019.2961229 |
0.653 |
|
2020 |
McRae AD, Davenport MA. Low-rank matrix completion and denoising under Poisson noise Information and Inference: a Journal of the Ima. DOI: 10.1093/Imaiai/Iaaa020 |
0.301 |
|
2019 |
Moore MG, Davenport MA. Estimation of Poisson Arrival Processes Under Linear Models Ieee Transactions On Information Theory. 65: 3555-3564. DOI: 10.1109/Tit.2018.2889489 |
0.305 |
|
2019 |
Karnik S, Zhu Z, Wakin MB, Romberg J, Davenport MA. The fast Slepian transform Applied and Computational Harmonic Analysis. 46: 624-652. DOI: 10.1016/J.Acha.2017.07.005 |
0.75 |
|
2019 |
Cheng C, Rashidi A, Davenport MA, Anderson DV. Evaluation of Software and Hardware Settings for Audio-Based Analysis of Construction Operations International Journal of Civil Engineering. 17: 1469-1480. DOI: 10.1007/S40999-019-00409-2 |
0.337 |
|
2018 |
LaGrow TJ, Moore MG, Prasad JA, Davenport MA, Dyer EL. Approximating Cellular Densities from High-Resolution Neuroanatomical Imaging Data. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2018: 1-4. PMID 30440243 DOI: 10.1109/EMBC.2018.8512220 |
0.53 |
|
2018 |
Zhu Z, Karnik S, Wakin MB, Davenport MA, Romberg J. ROAST: Rapid Orthogonal Approximate Slepian Transform Ieee Transactions On Signal Processing. 66: 5887-5901. DOI: 10.1109/Tsp.2018.2872002 |
0.667 |
|
2018 |
Xu H, Yu L, Davenport MA, Zha H. A Unified Framework for Manifold Landmarking Ieee Transactions On Signal Processing. 66: 5563-5576. DOI: 10.1109/Tsp.2018.2869116 |
0.322 |
|
2018 |
Zhu Z, Karnik S, Davenport MA, Romberg J, Wakin MB. The Eigenvalue Distribution of Discrete Periodic Time-Frequency Limiting Operators Ieee Signal Processing Letters. 25: 95-99. DOI: 10.1109/Lsp.2017.2751578 |
0.589 |
|
2017 |
Rashidi A, Davenport MA, Anderson DV, Cheng C, Sabillon CA. Achievements and challenges in audio-based modeling of construction job sites The Journal of the Acoustical Society of America. 141: 3917-3917. DOI: 10.1121/1.4988845 |
0.352 |
|
2017 |
Cheng C, Rashidi A, Davenport MA, Anderson DV. Activity analysis of construction equipment using audio signals and support vector machines Automation in Construction. 81: 240-253. DOI: 10.1016/J.Autcon.2017.06.005 |
0.405 |
|
2016 |
Davenport MA, Massimino AK, Needell D, Woolf T. Constrained Adaptive Sensing Ieee Transactions On Signal Processing. 64: 5437-5449. DOI: 10.1109/Tsp.2016.2597130 |
0.407 |
|
2016 |
Davenport MA, Romberg J. An Overview of Low-Rank Matrix Recovery from Incomplete Observations Ieee Journal On Selected Topics in Signal Processing. 10: 608-622. DOI: 10.1109/Jstsp.2016.2539100 |
0.678 |
|
2014 |
Willett RM, Duarte MF, Davenport MA, Baraniuk RG. Sparsity and structure in hyperspectral imaging : Sensing, reconstruction, and target detection Ieee Signal Processing Magazine. 31: 116-126. DOI: 10.1109/Msp.2013.2279507 |
0.677 |
|
2014 |
Davenport MA, Plan Y, van den Berg E, Wootters M. 1-Bit matrix completion Information and Inference. 3: 189-223. DOI: 10.1093/Imaiai/Iau006 |
0.363 |
|
2013 |
Davenport MA, Needell D, Wakin MB. Signal space CoSaMP for sparse recovery with redundant dictionaries Ieee Transactions On Information Theory. 59: 6820-6829. DOI: 10.1109/Tit.2013.2273491 |
0.709 |
|
2013 |
Arias-Castro E, Candes EJ, Davenport MA. On the fundamental limits of adaptive sensing Ieee Transactions On Information Theory. 59: 472-481. DOI: 10.1109/Tit.2012.2215837 |
0.425 |
|
2013 |
Candès EJ, Davenport MA. How well can we estimate a sparse vector? Applied and Computational Harmonic Analysis. 34: 317-323. DOI: 10.1016/J.Acha.2012.08.010 |
0.377 |
|
2013 |
Cohen A, Davenport MA, Leviatan D. On the Stability and Accuracy of Least Squares Approximations Foundations of Computational Mathematics. 13: 819-834. DOI: 10.1007/S10208-013-9142-3 |
0.321 |
|
2012 |
Davenport MA, Laska JN, Treichler JR, Baraniuk RG. The pros and cons of compressive sensing for wideband signal acquisition: Noise folding versus dynamic range Ieee Transactions On Signal Processing. 60: 4628-4642. DOI: 10.1109/Tsp.2012.2201149 |
0.794 |
|
2012 |
Schnelle SR, Slavinsky JP, Boufounos PT, Davenport MA, Baraniuk RG. A compressive phase-locked loop Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 2885-2888. DOI: 10.1109/ICASSP.2012.6288519 |
0.547 |
|
2012 |
Davenport MA, Needell D, Wakin MB. CoSaMP with redundant dictionaries Conference Record - Asilomar Conference On Signals, Systems and Computers. 263-267. DOI: 10.1109/ACSSC.2012.6489003 |
0.669 |
|
2012 |
Davenport MA, Wakin MB. Compressive sensing of analog signals using discrete prolate Spheroidal Sequences Applied and Computational Harmonic Analysis. 33: 438-472. DOI: 10.1016/J.Acha.2012.02.005 |
0.682 |
|
2011 |
Xu L, Davenport MA, Turner MA, Sun T, Kelly KF. Compressive echelle spectroscopy Proceedings of Spie - the International Society For Optical Engineering. 8165. DOI: 10.1117/12.894191 |
0.331 |
|
2011 |
Slavinsky JP, Laska JN, Davenport MA, Baraniuk RG. The compressive multiplexer for multi-channel compressive sensing Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3980-3983. DOI: 10.1109/ICASSP.2011.5947224 |
0.771 |
|
2011 |
Laska JN, Boufounos PT, Davenport MA, Baraniuk RG. Democracy in action: Quantization, saturation, and compressive sensing Applied and Computational Harmonic Analysis. 31: 429-443. DOI: 10.1016/J.Acha.2011.02.002 |
0.802 |
|
2010 |
Davenport MA, Baraniuk RG, Scott CD. Tuning support vector machines for minimax and Neyman-Pearson classification. Ieee Transactions On Pattern Analysis and Machine Intelligence. 32: 1888-98. PMID 20724764 DOI: 10.1109/Tpami.2010.29 |
0.544 |
|
2010 |
Davenport MA, Hegde C, Duarte MF, Baraniuk RG. Joint manifolds for data fusion. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 19: 2580-94. PMID 20550996 DOI: 10.1109/Tip.2010.2052821 |
0.697 |
|
2010 |
Davenport MA, Wakin MB. Analysis of orthogonal matching pursuit using the restricted isometry property Ieee Transactions On Information Theory. 56: 4395-4401. DOI: 10.1109/Tit.2010.2054653 |
0.644 |
|
2010 |
Davenport MA, Schnelle SR, Slavinsky JP, Baraniuk RG, Wakin MB, Boufounos PT. A wideband compressive radio receiver Proceedings - Ieee Military Communications Conference Milcom. 1193-1198. DOI: 10.1109/MILCOM.2010.5680108 |
0.679 |
|
2010 |
Davenport MA, Boufounos PT, Wakin MB, Baraniuk RG. Signal processing with compressive measurements Ieee Journal On Selected Topics in Signal Processing. 4: 445-460. DOI: 10.1109/Jstsp.2009.2039178 |
0.752 |
|
2010 |
Schnelle SR, Laska JN, Hegde C, Duarte MF, Davenport MA, Baraniuk RG. Texas hold 'em algorithms for distributed compressive sensing Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 2886-2889. DOI: 10.1109/ICASSP.2010.5496168 |
0.784 |
|
2010 |
Davenport MA, Hegde C, Duarte MF, Baraniuk RG. High-dimensional data fusion via joint manifold learning Aaai Fall Symposium - Technical Report. 20-27. |
0.661 |
|
2009 |
Laska JN, Davenport MA, Baraniuk RG. Exact signal recovery from sparsely corrupted measurements through the pursuit of justice Conference Record - Asilomar Conference On Signals, Systems and Computers. 1556-1560. DOI: 10.1109/ACSSC.2009.5470141 |
0.783 |
|
2009 |
Davenport MA, Duarte MF, Eldar YC, Kutyniok G. Introduction to compressed sensing Compressed Sensing: Theory and Applications. 1-64. DOI: 10.1017/CBO9780511794308.002 |
0.629 |
|
2009 |
Davenport MA, Baraniuk RG. Sparse geodesic paths Aaai Fall Symposium - Technical Report. 2-9. |
0.545 |
|
2008 |
Duarte MF, Davenport MA, Takbar D, Laska JN, Sun T, Kelly KF, Baraniuk RG. Single-pixel imaging via compressive sampling: Building simpler, smaller, and less-expensive digital cameras Ieee Signal Processing Magazine. 25: 83-91. DOI: 10.1109/Msp.2007.914730 |
0.773 |
|
2008 |
Baraniuk R, Davenport M, DeVore R, Wakin M. A simple proof of the restricted isometry property for random matrices Constructive Approximation. 28: 253-263. DOI: 10.1007/S00365-007-9003-X |
0.703 |
|
2007 |
Davenport MA, Duarte MF, Wakin MB, Laska JN, Takhar D, Kelly KF, Baraniuk RG. The smashed filter for compressive classification and target recognition Proceedings of Spie - the International Society For Optical Engineering. 6498. DOI: 10.1117/12.714460 |
0.77 |
|
2007 |
Davenport MA, Baraniuk RG, Scott CD. Minimax support vector machines Ieee Workshop On Statistical Signal Processing Proceedings. 630-634. DOI: 10.1109/SSP.2007.4301335 |
0.471 |
|
2007 |
Davenport MA, Baraniuk RG, Scott CD. Learning minimum volume sets with support vector machines Proceedings of the 2006 16th Ieee Signal Processing Society Workshop On Machine Learning For Signal Processing, Mlsp 2006. 301-306. DOI: 10.1109/MLSP.2006.275565 |
0.5 |
|
2006 |
Duarte MF, Davenport MA, Wakin MB, Laska JN, Takhar D, Kelly KF, Baraniuk RG. Multiscale random projections for compressive classification Proceedings - International Conference On Image Processing, Icip. 6: VI161-VI164. DOI: 10.1109/ICIP.2007.4379546 |
0.763 |
|
2006 |
Davenport MA, Baraniuk RG, Scott CD. Controlling false alarms with support vector machines Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 5. |
0.479 |
|
2006 |
Duarte MF, Davenport MA, Wakin MB, Baraniuk RG. Sparse signal detection from incoherent projections Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 3: III305-III308. |
0.788 |
|
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