His main research concerns Compressed sensing, Artificial intelligence, Signal processing, Detection theory and Computer vision. His studies in Compressed sensing integrate themes in fields like Nyquist rate and Combinatorics. His research in the fields of Iterative reconstruction and Digital camera overlaps with other disciplines such as Digital photography.
His studies deal with areas such as Theoretical computer science, Computer engineering, Digital signal processing, Inference and Small set as well as Signal processing. His Computer vision study combines topics in areas such as Speech recognition, Hyperspectral imaging, Digital micromirror device and Component. His Restricted isometry property research incorporates elements of Elementary proof, Euclidean space, Pure mathematics and Random matrix.
His scientific interests lie mostly in Artificial intelligence, Algorithm, Compressed sensing, Pattern recognition and Machine learning. His Artificial intelligence study often links to related topics such as Computer vision. The various areas that Mark A. Davenport examines in his Algorithm study include Bandlimiting, Mathematical optimization and Signal processing.
Mark A. Davenport is interested in Restricted isometry property, which is a field of Compressed sensing. His Restricted isometry property research integrates issues from Greedy algorithm and Combinatorics. Mark A. Davenport combines subjects such as Classifier and Data mining with his study of Machine learning.
The scientist’s investigation covers issues in Artificial intelligence, Combinatorics, Machine learning, Algorithm and Orthonormality. Mark A. Davenport frequently studies issues relating to Pattern recognition and Artificial intelligence. His Pattern recognition research includes elements of Sequence, Deep learning, Task and Preference vector.
His studies in Combinatorics integrate themes in fields like Space and Metric. As a part of the same scientific study, he usually deals with the Machine learning, concentrating on Generative model and frequently concerns with Black box. In general Algorithm study, his work on Algorithm design often relates to the realm of Sample complexity, thereby connecting several areas of interest.
Mark A. Davenport mostly deals with Basis, Wave function, Orthonormality, Operator and Discrete-time Fourier transform. His Basis research covers fields of interest such as Mathematical analysis and Pure mathematics.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Single-Pixel Imaging via Compressive Sampling
M.F. Duarte;M.A. Davenport;D. Takhar;J.N. Laska.
IEEE Signal Processing Magazine (2008)
A Simple Proof of the Restricted Isometry Property for Random Matrices
Richard G. Baraniuk;Mark A. Davenport;Ronald A. DeVore;Michael B. Wakin.
Constructive Approximation (2008)
Signal Processing With Compressive Measurements
M.A. Davenport;P.T. Boufounos;M.B. Wakin;R.G. Baraniuk.
IEEE Journal of Selected Topics in Signal Processing (2010)
Introduction to compressed sensing
Mark A. Davenport;Marco F. Duarte;Yonina C. Eldar;Gitta Kutyniok.
Compressed Sensing (2012)
Analysis of Orthogonal Matching Pursuit Using the Restricted Isometry Property
M A Davenport;M B Wakin.
IEEE Transactions on Information Theory (2010)
The smashed filter for compressive classification and target recognition
Mark A. Davenport;Marco F. Duarte;Michael B. Wakin;Jason N. Laska.
electronic imaging (2007)
An Overview of Low-Rank Matrix Recovery From Incomplete Observations
Mark A. Davenport;Justin Romberg.
IEEE Journal of Selected Topics in Signal Processing (2016)
1-Bit matrix completion
Mark A. Davenport;Yaniv Plan;Ewout van den Berg;Mary Wootters.
Information and Inference: A Journal of the IMA (2014)
Sparse Signal Detection from Incoherent Projections
M.F. Duarte;M.A. Davenport;M.B. Wakin;R.G. Baraniuk.
international conference on acoustics, speech, and signal processing (2006)
Democracy in Action: Quantization, Saturation, and Compressive Sensing
Jason N. Laska;Petros T. Boufounos;Mark A. Davenport;Richard G. Baraniuk.
Applied and Computational Harmonic Analysis (2011)
Profile was last updated on December 6th, 2021.
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