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Model-Based Compressive Sensing

Model-Based Compressive Sensing

Reading Group. Model-Based Compressive Sensing. ( Richard G. Baraniuk , Volkan Cevher , Marco F. Duarte, Chinmay Hegde ). Presenter: Jason David Bonior ECE / CMR Tennessee Technological University November 5, 2010. Outline. Introduction Compressive Sensing

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774 views • 46 slides
Recovery of Clustered Sparse Signals from Compressive Measurements

Recovery of Clustered Sparse Signals from Compressive Measurements

Recovery of Clustered Sparse Signals from Compressive Measurements. Chinmay Hegde. Richard Baraniuk. Volkan Cevher volkan@rice.edu. Piotr Indyk. The Digital Universe. Size: ~300 billion gigabytes generated in 2007 digital bits > stars in the universe

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792 views • 36 slides
Compressive Sensing Based on Local Regional Data in Wireless Sensor Networks

Compressive Sensing Based on Local Regional Data in Wireless Sensor Networks

Compressive Sensing Based on Local Regional Data in Wireless Sensor Networks . Hao Yang , Liusheng Huang , Hongli Xu , Wei Yang 2012 IEEE Wireless Communications and Networking Conference: Mobile and Wireless Networks . Outline. Introduction Compressive Sensing Theory

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467 views • 30 slides
False Discovery Rate for Functional Neuroimaging Thomas Nichols Department of Biostatistics University of Michigan

False Discovery Rate for Functional Neuroimaging Thomas Nichols Department of Biostatistics University of Michigan

False Discovery Rate for Functional Neuroimaging Thomas Nichols Department of Biostatistics University of Michigan With thanks to... Christopher Genovese & Nicole Lazar Carnegie Mellon University Keith Worlsey McGill University Outline Introduction to Functional Neuroimaging

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1.33k views • 23 slides
Julio Martin Duarte-Carvajalino , and Guillermo Sapiro University of Minnesota

Julio Martin Duarte-Carvajalino , and Guillermo Sapiro University of Minnesota

Learning to Sense Sparse Signals: Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization. Julio Martin Duarte-Carvajalino , and Guillermo Sapiro University of Minnesota IEEE Transactions on Image Processing, Vol. 18, No. 7, July 2009. Presented by Haojun Chen. Outline.

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330 views • 17 slides

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