M
Marco F. Duarte
Researcher at University of Massachusetts Amherst
Publications - 147
Citations - 17687
Marco F. Duarte is an academic researcher from University of Massachusetts Amherst. The author has contributed to research in topics: Compressed sensing & Sparse approximation. The author has an hindex of 43, co-authored 146 publications receiving 16130 citations. Previous affiliations of Marco F. Duarte include Rice University & Princeton University.
Papers
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Journal ArticleDOI
Single-Pixel Imaging via Compressive Sampling
Marco F. Duarte,Mark A. Davenport,Dharmpal Takhar,Jason N. Laska,Ting Sun,Kevin F. Kelly,Richard G. Baraniuk +6 more
TL;DR: A new camera architecture based on a digital micromirror device with the new mathematical theory and algorithms of compressive sampling is presented that can operate efficiently across a broader spectral range than conventional silicon-based cameras.
Journal ArticleDOI
Model-Based Compressive Sensing
TL;DR: In this article, the authors introduce a new class of structured compressible signals along with a new sufficient condition for robust structured compressibility signal recovery that they dub the restricted amplification property, which is the natural counterpart to the restricted isometry property of conventional CS.
Journal ArticleDOI
Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals
TL;DR: A new type of data acquisition system, called a random demodulator, that is constructed from robust, readily available components that supports the empirical observations, and a detailed theoretical analysis of the system's performance is provided.
Journal ArticleDOI
Structured Compressed Sensing: From Theory to Applications
Marco F. Duarte,Yonina C. Eldar +1 more
TL;DR: The prime focus is bridging theory and practice, to pinpoint the potential of structured CS strategies to emerge from the math to the hardware in compressive sensing.
Proceedings ArticleDOI
A new compressive imaging camera architecture using optical-domain compression
Dharmpal Takhar,Jason N. Laska,Michael B. Wakin,Marco F. Duarte,Dror Baron,Shriram Sarvotham,Kevin F. Kelly,Richard G. Baraniuk +7 more
TL;DR: A new camera architecture is developed that employs a digital micromirror array to perform optical calculations of linear projections of an image onto pseudorandom binary patterns that can be adapted to image at wavelengths that are currently impossible with conventional CCD and CMOS imagers.