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Justin K. Romberg, Ph.D.

Affiliations: 
2004 Rice University, Houston, TX 
 2006- Electrical and Computer Engineering Georgia Institute of Technology, Atlanta, GA 
Area:
System Science Engineering
Website:
http://jrom.ece.gatech.edu/
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"Justin Romberg"

Parents

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Richard G. Baraniuk grad student 2004 Rice University
 (Multiscale geometric image processing.)
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Publications

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Fair KL, Mendat DR, Andreou AG, et al. (2019) Sparse Coding Using the Locally Competitive Algorithm on the TrueNorth Neurosynaptic System. Frontiers in Neuroscience. 13: 754
Karnik S, Zhu Z, Wakin MB, et al. (2019) The fast Slepian transform Applied and Computational Harmonic Analysis. 46: 624-652
Wakin MB, Gribonval R, Koivunen V, et al. (2016) Introduction to the Issue on Structured Matrices in Signal and Data Processing Ieee Journal On Selected Topics in Signal Processing. 10: 605-607
Davenport MA, Romberg J. (2016) An Overview of Low-Rank Matrix Recovery from Incomplete Observations Ieee Journal On Selected Topics in Signal Processing. 10: 608-622
Balavoine A, Rozell CJ, Romberg J. (2015) Discrete and continuous-time soft-thresholding for dynamic signal recovery Ieee Transactions On Signal Processing. 63: 3165-3176
Balavoine A, Rozell CJ, Romberg J. (2014) Iterative soft-thresholding for time-varying signal recovery Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 4958-4962
Balavoine A, Rozell CJ, Romberg J. (2013) Convergence speed of a dynamical system for sparse recovery Ieee Transactions On Signal Processing. 61: 4259-4269
Eftekhari A, Romberg J, Wakin MB. (2013) Matched filtering from limited frequency samples Ieee Transactions On Information Theory. 59: 3475-3496
Balavoine A, Rozell CJ, Romberg J. (2013) Convergence of a neural network for sparse approximation using the nonsmooth Łojasiewicz inequality Proceedings of the International Joint Conference On Neural Networks
Balavoine A, Romberg J, Rozell CJ. (2012) Convergence and rate analysis of neural networks for sparse approximation. Ieee Transactions On Neural Networks and Learning Systems. 23: 1377-89
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