Will be structured further, till that
MATLAB Tutorial
http://www.math.ufl.edu/help/matlab-tutorial/
Compressive Sensing
- Compressive Sensing Resources http://dsp.rice.edu/cs
- Spectral compressive sensing toolbox http://dsp.rice.edu/scs
- Center for Compressive Sensing
- http://www.see.ed.ac.uk/~mdavies4/Research/CS/
https://sites.google.com/site/igorcarron2/compressivesensing2.0
http://perception.csl.illinois.edu/recognition/Home.html
https://sites.google.com/site/igorcarron2/cs
http://www.mathworks.in/company/newsletters/articles/clevescorner-compressed-sensing.html
http://en.wikipedia.org/wiki/Compressed_sensing
Using Math to Turn Lo-Res Datasets Into Hi-Res Samples Wired Magazine article
Compressed Sensing: The Big Picture
A list of different hardware implementation of Compressive Sensing
Compressed Sensing 2.0
Compressed Sensing Makes Every Pixel Count – article in the AMS What's Happening in the Mathematical Sciences series
Nuit Blanche A blog on Compressive Sensing featuring the most recent information on the subject (preprints, presentations, Q/As)
Online Talks focused on Compressive Sensing
Wiki on sparse reconstruction
http://people.csail.mit.edu/indyk/princeton.pdf
http://www.cs.huji.ac.il/~yweiss/allerton-final.pdf
Video
"The Fundamentals of Compressive Sensing" Part 1, Part 2 and Part 3: video tutorial by Mark Davenport, Georgia Tech. at IEEE Signal Processing Society Online Tutorial Library.
References
- ^ M. Davenport, "The Fundamentals of Compressive Sensing", IEEE Signal Processing Society Online Tutorial Library, April 12, 2013.
- ^ CS: Compressed Genotyping, DNA Sudoku - Harnessing high throughput sequencing for multiplexed specimen analysis
- ^ Compressive sampling makes medical imaging safer
- ^ Candès, Emmanuel J.; Romberg, Justin K.; Tao, Terence (2006). "Stable signal recovery from incomplete and inaccurate measurements". Communications on Pure and Applied Mathematics 59 (8): 1207.doi:10.1002/cpa.20124.
- ^ Donoho, D.L. (2006). "Compressed sensing". IEEE Transactions on Information Theory 52 (4): 1289.doi:10.1109/TIT.2006.871582.
- ^ List of L1 regularization ideas from Vivek Goyal, Alyson Fletcher, Sundeep Rangan, The Optimistic Bayesian: Replica Method Analysis of Compressed Sensing
- ^ Hayes, Brian (2009). "The Best Bits". American Scientist97 (4): 276. doi:10.1511/2009.79.276.
- ^ Tibshirani, Robert. The Lasso page "Regression shrinkage and selection via the lasso". Journal of the Royal Statistical Society, Series B 58 (1): 267–288.
- ^ "Atomic decomposition by basis pursuit", by Scott Shaobing Chen, David L. Donoho, Michael, A. Saunders. SIAM Journal on Scientific Computing
- ^ Candès, Emmanuel J.; Romberg, Justin K.; Tao, Terence (2006). "Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Fourier Information". IEEE Trans. Inf. Theory 52 (8): 489–509.
- ^ Candès, E.J., & Wakin, M.B., An Introduction To Compressive Sampling, IEEE Signal Processing Magazine, V.21, March 2008 [1]
- ^ Stefan Rolewicz. Metric Linear Spaces.
- ^ L1-MAGIC is a collection of MATLAB routines [2]
- ^ Compressive Sensing Hardware,http://sites.google.com/site/igorcarron2/compressedsensinghardware
- ^ David Schneider (March 2013). "New Camera Chip Captures Only What It Needs". IEEE Spectrum. Retrieved 2013-03-20.
- ^ "Compressive Imaging: A New Single-Pixel Camera | Rice DSP". Dsp.rice.edu. Retrieved 2013-06-04.
- ^ The Physics arXiv Blog June 3, 2013 (2013-05-25). "Bell Labs Invents Lensless Camera | MIT Technology Review". Technologyreview.com. Retrieved 2013-06-04.
- ^ Gang Huang; Hong Jiang; Kim Matthews; Paul Wilford (2393). "Lensless Imaging by Compressive Sensing". IEEE International Conference on Image Processing, ICIP , Paper # 2013. arXiv:1305.7181.
- ^ "InView web site". http://www.inviewcorp.com/products.
- ^ "InView web site".http://www.inviewcorp.com/technology/compressive-sensing/.
- ^ Engineers Test Highly Accurate Face Recognition
- ^ By Jordan EllenbergEmail Author (2010-03-04). "Fill in the Blanks: Using Math to Turn Lo-Res Datasets Into Hi-Res Samples | Wired Magazine". Wired.com. Retrieved 2013-06-04.
- ^ Why Compressed Sensing is NOT a CSI "Enhance" technology ... yet !
- ^ Surely You Must Be Joking Mr. Screenwriter
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Engineers Test Highly Accurate Face Recognition http://www.wired.com/science/discoveries/news/2008/03/new_face_recognition
SparseLab http://sparselab.stanford.edu/
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Refered from http://www.see.ed.ac.uk/~tblumens/Sparse/Links.html by Thomas Blumensath
Sparse People
Some Sparse Software
SparseLab
The Matching Pursuit ToolKit
SPGL1 : A solver for large-scale sparse reconstruction
Bayesian Compressed Sensing
sparseMRI
FPC
Chaining Pursuit
Regularized OMP
SPARCO: A toolbox for testing sparse reconstruction algorithms
The Matching Pursuit ToolKit
SPGL1 : A solver for large-scale sparse reconstruction
Bayesian Compressed Sensing
sparseMRI
FPC
Chaining Pursuit
Regularized OMP
SPARCO: A toolbox for testing sparse reconstruction algorithms
Workshops and Conferences
SPARS05 Workshop
Sparse Approximation Workshop 2006
2007 von Neumann Symposium
Short Course: Sparse Representations and High Dimensional Geometry (Including audio podcast of Lectures)
Igor Carron's blog on Compressed Sensing
Sparse Approximation Workshop 2006
2007 von Neumann Symposium
Short Course: Sparse Representations and High Dimensional Geometry (Including audio podcast of Lectures)
Other Links
Rice University Compressed Sensing ResourcesIgor Carron's blog on Compressed Sensing
1.) http://www.see.ed.ac.uk/~tblumens/Sparse/Sparse.html
ReplyDeleteCheck out this link also