Publications of E. Candes

Articles in journal or book chapters

1. R.G. Baraniuk, E. Candes, M. Elad, and Yi Ma. Applications of Sparse Representation and Compressive Sensing [Scanning the Issue]. Proceedings of the IEEE, 98(6):906-909, june 2010. Keyword(s): NP-hard, compressive sensing, convex optimization, greedy methods, high-dimensional data, linear combination, overcomplete dictionary, sparse representation, computational complexity, signal processing, sparse matrices;. [Abstract] [bibtex-entry]



2. A. Zymnis, S. Boyd, and E. Candes. Compressed Sensing With Quantized Measurements. IEEE Signal Processing Letters, 17(2):149-152, February 2010. Keyword(s): Gaussian noise, compressed sensing, convex function, first order method, numerical simulation, quantized measurement, sparse signal estimation, Gaussian noise, quantisation (signal), signal processing;. [Abstract] [bibtex-entry]



3. R.G. Baraniuk, E. Candes, R. Nowak, and M. Vetterli. Compressive Sampling [From the Guest Editors]. IEEE Signal Processing Magazine, 25(2):12 -13, March 2008. [Abstract] [bibtex-entry]

Conference articles

1. E. Candes, Xiaodong Li, Yi Ma, and J. Wright. Robust principal component analysis?: Recovering low-rank matrices from sparse errors. In Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop, pages 201-204, October 2010. Keyword(s): bioinformatics, computer vision, low rank data matrix, nonvanishing fraction, nuclear norm, positive fraction, robust principal component analysis, simple convex program, weighted combination, matrix algebra, principal component analysis;. [Abstract] [bibtex-entry]



2. E. Candes, N. Braun, and M. Wakin. SPARSE SIGNAL AND IMAGE RECOVERY FROM COMPRESSIVE SAMPLES. In Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on, pages 976-979, april 2007. Keyword(s): compressive sampling, data acquisition, image recovery, magnetic resonance imaging, medical imaging, model-based framework, random measurements, random noise-like basis, signal reconstruction, sparse signal recovery, biomedical MRI, biomedical measurement, data acquisition, image coding, image reconstruction, image sampling, medical image processing, random noise, sparse matrices;. [Abstract] [bibtex-entry]



3. E. Candes and J. Romberg. Robust Signal Recovery from Incomplete Observations. In Proc. IEEE Int. Conf. Image Processing, pages 1281-1284, October 2006. Keyword(s): convex optimization program, linear measurement, sparse signal reconstruction, convex programming, signal reconstruction;. [Abstract] [bibtex-entry]

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This collection of SAR literature is far from being complete.
It is rather a collection of papers which I store in my literature data base. Hence, the list of publications under PUBLICATIONS OF AUTHOR'S NAME should NOT be mistaken for a complete bibliography of that author.

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