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Compressed sensing
Results: 189

#	Item
131	1 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 Rice University Add to Reading List Source URL: www.ece.rice.edu Language: English - Date: 2009-12-09 16:36:40 Computing Imaging Computer vision Digital geometry Pixel Television technology Image resolution Compressed sensing JPEG Digital photography Image processing Computer graphics
132	Compressive Structured Light for Recovering Inhomogeneous Participating Media Jinwei Gu, Shree Nayar, Eitan Grinspun, Peter Belhumeur, and Ravi Ramamoorthi Columbia University, New York, NY 10027, USA [removed] Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2008-09-08 10:19:59 Optics Statistics Compressed sensing Linear algebra Mathematical optimization Signal processing Video Light scattering Voxel Imaging Information theory Regression analysis
133	REAL-TIME DYNAMIC MR IMAGE RECONSTRUCTION USING KALMAN FILTERED COMPRESSED SENSING Chenlu Qiu, Wei Lu and Namrata Vaswani Dept. of Electrical and Computer Engineering, Iowa State University, Ames, IA, {chenlu, luwei, nam Add to Reading List Source URL: home.engineering.iastate.edu Language: English - Date: 2008-09-29 21:34:06 Linear algebra Signal processing Numerical linear algebra Digital signal processing Fourier analysis Compressed sensing Sparse approximation Discrete Fourier transform Matrix Mathematical analysis Mathematics Algebra
134	Microsoft PowerPoint - sense-sigc09 Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2009-08-21 05:29:28 Functional analysis Matrix theory Numerical linear algebra Singular value decomposition Compressed sensing Algebra Mathematics Linear algebra
135	Eﬃcient and compressive sampling on the sphere July 14, 2014 Science on the Sphere, London, UK Y. Wiaux Add to Reading List Source URL: lateuniverse.files.wordpress.com Language: English - Date: 2014-07-15 00:53:57 Digital signal processing Information theory Applied mathematics Partial differential equations Nyquist–Shannon sampling theorem Sampling Spherical harmonics Compressed sensing Harmonic analysis Mathematical analysis Mathematics Signal processing
136	1943 CS-SENSE or Denoised SENSE: The Influence of Irregular Sampling in l1 Regularized SENSE Reconstruction Mariya Doneva1, Holger Eggers1, and Peter Börnert1 1 Philips Research Europe, Hamburg, Germany Add to Reading List Source URL: repository.tudelft.nl Language: English Applied mathematics Compressed sensing Sampling Iterative reconstruction K-space Undersampling Image noise Inverse problem Signal processing Telecommunications engineering Mathematics
137	Parallel Coordinate Descent for L1 -Regularized Loss Minimization Joseph K. Bradley † Aapo Kyrola † Danny Bickson Carlos Guestrin Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2011-11-03 13:21:57 Mathematical optimization Statistical classification Numerical linear algebra Parallel computing Speedup Coordinate descent Least squares Compressed sensing Feature selection Statistics Numerical analysis Regression analysis
138	Sparse Reconstruction of Visual Appearance for Computer Graphics and Vision Ravi Ramamoorthia a University of California, Berkeley, 525 Soda Hall, Berkeley, CA 94720, [removed] Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2011-07-28 16:34:48 Optics Light field Precomputed Radiance Transfer Rendering Compressed sensing Radiosity Spatial anti-aliasing Ray tracing Bidirectional reflectance distribution function 3D computer graphics Computer graphics Imaging
139	2678 Faster Convergence for CS-SENSE Reconstruction 1 Mariya Doneva1, and Peter Börnert1 Philips Research Europe, Hamburg, Germany Add to Reading List Source URL: repository.tudelft.nl Language: English Applied mathematics Mathematical optimization Preconditioner Conjugate gradient method Thresholding Compressed sensing Numerical linear algebra Numerical analysis Mathematics
140	Sparse Signal Reconstruction: LASSO and Cardinality Approaches Nikita Boyko, Gulver Karamemis, Viktor Kuzmenko, and Stan Uryasev Abstract The paper considers several optimization problem statements for signal sparse reco Add to Reading List Source URL: www.ise.ufl.edu Language: English - Date: 2014-06-24 12:36:20 Operations research Linear algebra Convex optimization Numerical linear algebra Linear programming CPLEX Compressed sensing Preconditioner Optimization problem Mathematics Algebra Mathematical optimization

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