Justin K. Romberg

98 papers A* 1B 9C 1Misc 15Journal 50Unranked 22
YearRankTypeTitle / Venue / Authors
2023 J jnl
PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems.
CoRR
Jihui Jin, Etienne Ollivier, Richard Touret, Matthew McKinley, Karim G. Sabra, Justin K. Romberg
2017 Misc conf
Fast orthogonal approximations of sampled sinusoids and bandlimited signals.
ICASSP
Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin K. Romberg
2016 J jnl
Algebraic Connectivity Under Site Percolation in Finite Weighted Graphs.
CoRR
Sohail Bahmani, Justin K. Romberg, Prasad Tetali
2016 J jnl
An Overview of Low-Rank Matrix Recovery From Incomplete Observations.
IEEE J. Sel. Top. Signal Process.
Mark A. Davenport, Justin K. Romberg
2016 J jnl
An overview of low-rank matrix recovery from incomplete observations.
CoRR
Mark A. Davenport, Justin K. Romberg
2016 — conf
Fast computations for approximation and compression in Slepian spaces.
GlobalSIP
Santhosh Karnik, Zhihui Zhu, Michael B. Wakin, Justin K. Romberg, Mark A. Davenport
2016 J jnl
Introduction to the Issue on Structured Matrices in Signal and Data Processing.
IEEE J. Sel. Top. Signal Process.
Michael B. Wakin, Rémi Gribonval, Visa Koivunen, Justin K. Romberg, John Wright
2016 J jnl
Object Learning and Convex Cardinal Shape Composition.
CoRR
Alireza Aghasi, Justin K. Romberg
2016 J jnl
Sweep Distortion Removal from THz Images via Blind Demodulation.
CoRR
Alireza Aghasi, Barmak Heshmat, Albert Redo-Sanchez, Justin K. Romberg, Ramesh Raskar
2015 J jnl
Compressive Multiplexing of Correlated Signals.
IEEE Trans. Inf. Theory
Ali Ahmed, Justin K. Romberg
2015 J jnl
Compressive Sampling of Ensembles of Correlated Signals.
CoRR
Ali Ahmed, Justin K. Romberg
2015 J jnl
Convex Cardinal Shape Composition.
SIAM J. Imaging Sci.
Alireza Aghasi, Justin K. Romberg
2015 Misc conf
Convex cardinal shape composition and object recognition in computer vision.
ACSSC
Alireza Aghasi, Justin K. Romberg
2015 J jnl
Discrete and Continuous-Time Soft-Thresholding for Dynamic Signal Recovery.
IEEE Trans. Signal Process.
Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg
2015 — conf
Efficient Compressive Phase Retrieval with Constrained Sensing Vectors.
NIPS
Sohail Bahmani, Justin K. Romberg
2015 J jnl
Efficient Compressive Phase Retrieval with Constrained Sensing Vectors.
CoRR
Sohail Bahmani, Justin K. Romberg
2015 J jnl
Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation.
CoRR
Sohail Bahmani, Justin K. Romberg
2015 J jnl
Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation.
SIAM J. Imaging Sci.
Sohail Bahmani, Justin K. Romberg
2015 J jnl
Near-Optimal Estimation of Simultaneously Sparse and Low-Rank Matrices from Nested Linear Measurements.
CoRR
Sohail Bahmani, Justin K. Romberg
2015 J jnl
Sketching for Simultaneously Sparse and Low-Rank Covariance Matrices.
CoRR
Sohail Bahmani, Justin K. Romberg
2015 — conf
Sketching for simultaneously sparse and low-rank covariance matrices.
CAMSAP
Sohail Bahmani, Justin K. Romberg
2014 J jnl
Blind Deconvolution Using Convex Programming.
IEEE Trans. Inf. Theory
Ali Ahmed, Benjamin Recht, Justin K. Romberg
2014 J jnl
Compressed Subspace Matching on the Continuum.
CoRR
William Mantzel, Justin K. Romberg
2014 J jnl
Compressive Deconvolution in Random Mask Imaging.
CoRR
Sohail Bahmani, Justin K. Romberg
2014 J jnl
Correction to "Convergence and Rate Analysis of Neural Networks for Sparse Approximation".
IEEE Trans. Neural Networks Learn. Syst.
Aurele Balavoine, Justin K. Romberg, Christopher J. Rozell
2014 A* conf
Error estimating codes for insertion and deletion channels.
SIGMETRICS
Jiwei Huang, Sen Yang, Ashwin Lall, Justin K. Romberg, Jun (Jim) Xu, Chuang Lin
2014 Misc conf
Iterative soft-thresholding for time-varying signal recovery.
ICASSP
Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg
2014 Misc conf
Robust off-grid recovery from compressed measurements.
ICASSP
Xinyue Shen, Justin K. Romberg, Yuantao Gu
2014 J jnl
Sparse Recovery of Streaming Signals Using ℓ
IEEE Trans. Signal Process.
M. Salman Asif, Justin K. Romberg
2014 J jnl
Superfast Tikhonov Regularization of Toeplitz Systems.
IEEE Trans. Signal Process.
Christopher K. Turnes, Doru Balcan, Justin K. Romberg
2013 — conf
A tightest convex envelope heuristic to row sparse and rank one matrices.
GlobalSIP
Alireza Aghasi, Sohail Bahmani, Justin K. Romberg
2013 J jnl
Compressive Multiplexing of Correlated Signals.
CoRR
Ali Ahmed, Justin K. Romberg
2013 — conf
Compressive sampling in array processing.
CAMSAP
Ali Ahmed, Justin K. Romberg
2013 J jnl
Convergence Speed of a Dynamical System for Sparse Recovery.
IEEE Trans. Signal Process.
Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg
2013 B conf
Convergence of a neural network for sparse approximation using the nonsmooth Łojasiewicz inequality.
IJCNN
Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg
2013 J jnl
Fast and Accurate Algorithms for Re-Weighted ℓ
IEEE Trans. Signal Process.
Muhammad Salman Asif, Justin K. Romberg
2013 Misc conf
Low-complexity video compression and compressive sensing.
ACSSC
M. Salman Asif, Felix Fernandes, Justin K. Romberg
2013 J jnl
Matched Filtering From Limited Frequency Samples.
IEEE Trans. Inf. Theory
Armin Eftekhari, Justin K. Romberg, Michael B. Wakin
2013 Misc conf
Poutine: A correlation estimator for ergodic stationary signals.
ICASSP
Han Lun Yap, Aurele Balavoine, William Mantzel, Ning Tian, Darryl Sale, Alireza Aghasi, Justin K. Romberg
2013 J jnl
Sparse Recovery of Streaming Signals Using L1-Homotopy.
CoRR
Muhammad Salman Asif, Justin K. Romberg
2013 J jnl
Sparse Shape Reconstruction
CoRR
Alireza Aghasi, Justin K. Romberg
2013 J jnl
Sparse Shape Reconstruction.
SIAM J. Imaging Sci.
Alireza Aghasi, Justin K. Romberg
2012 J jnl
A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Juhwan Yoo, Christopher K. Turnes, Eric B. Nakamura, Chi K. Le, Stephen Becker, Emilio A. Sovero, Michael B. Wakin, Michael C. Grant, Justin K. Romberg, Azita Emami-Neyestanak, Emmanuel J. Candès
2012 J jnl
A Nonuniform Sampler for Wideband Spectrally-Sparse Environments.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Michael B. Wakin, Stephen Becker, Eric B. Nakamura, Michael C. Grant, Emilio A. Sovero, Daniel Ching, Juhwan Yoo, Justin K. Romberg, Azita Emami-Neyestanak, Emmanuel J. Candès
2012 J jnl
Blind Deconvolution using Convex Programming
CoRR
Ali Ahmed, Benjamin Recht, Justin K. Romberg
2012 — conf
Compressive LADAR in realistic environments.
SSP
Darryl Sale, Christopher J. Rozell, Justin K. Romberg, Aaron D. Lanterman
2012 — conf
Compressive ladar detector noise performance.
ACSCC
Darryl Sale, Christopher J. Rozell, Justin K. Romberg, Aaron D. Lanterman
2012 — conf
Compressive multiplexers for correlated signals.
ACSCC
Ali Ahmed, Justin K. Romberg
2012 J jnl
Convergence and Rate Analysis of Neural Networks for Sparse Approximation.
IEEE Trans. Neural Networks Learn. Syst.
Aurele Balavoine, Justin K. Romberg, Christopher J. Rozell
2012 J jnl
Efficient Calculations of 3-D FFTs on Spiral Contours.
J. Sci. Comput.
Christopher K. Turnes, Justin K. Romberg
2012 J jnl
Fast and Accurate Algorithms for Re-Weighted L1-Norm Minimization
CoRR
Muhammad Salman Asif, Justin K. Romberg
2012 B conf
Image deconvolution via superfast inversion of a class of two-level Toeplitz matrices.
ICIP
Christopher K. Turnes, Doru Balcan, Justin K. Romberg
2011 J jnl
Compressive Matched-Field Processing
CoRR
William Mantzel, Justin K. Romberg, Karim Sabra
2011 — conf
Compressive sampling of correlated signals.
ACSCC
Ali Ahmed, Justin K. Romberg
2011 Misc conf
Estimation and dynamic updating of time-varying signals with sparse variations.
ICASSP
Muhammad Salman Asif, Adam S. Charles, Justin K. Romberg, Christopher J. Rozell
2011 J jnl
Matched Filtering from Limited Frequency Samples
CoRR
Armin Eftekhari, Justin K. Romberg, Michael B. Wakin
2011 Misc conf
Sparsity penalties in dynamical system estimation.
CISS
Adam S. Charles, Muhammad Salman Asif, Justin K. Romberg, Christopher J. Rozell
2010 — conf
An overview of recent results on the identification of sparse channels using random probes.
CDC
Justin K. Romberg
2010 J jnl
Beyond Nyquist: efficient sampling of sparse bandlimited signals.
IEEE Trans. Inf. Theory
Joel A. Tropp, Jason N. Laska, Marco F. Duarte, Justin K. Romberg, Richard G. Baraniuk
2010 J jnl
Compressive Sensing on a CMOS Separable-Transform Image Sensor.
Proc. IEEE
Ryan W. Robucci, Jordan D. Gray, Leung Kin Chiu, Justin K. Romberg, Paul E. Hasler
2010 J jnl
Dynamic Updating for ell
IEEE J. Sel. Top. Signal Process.
Muhammad Salman Asif, Justin K. Romberg
2010 B conf
Functional vanishing point estimation via a filtered-Radon operator.
ICIP
William Mantzel, Justin K. Romberg
2010 — conf
Just-in-time sampling and pre-filtering for wearable physiological sensors: going from days to weeks of operation on a single charge.
Wireless Health
Nan Hua, Ashwin Lall, Justin K. Romberg, Jun (Jim) Xu, Mustafa al'Absi, Emre Ertin, Santosh Kumar, Shikhar Suri
2010 Misc conf
On the LASSO and Dantzig selector equivalence.
CISS
Muhammad Salman Asif, Justin K. Romberg
2010 — conf
Randomized group testing for acoustic source localization.
Computational Imaging
William Mantzel, Justin K. Romberg, Karim Sabra
2010 J jnl
Restricted Isometries for Partial Random Circulant Matrices
CoRR
Holger Rauhut, Justin K. Romberg, Joel A. Tropp
2010 B conf
Spiral FFT: An efficient method for 3-D FFTS on spiral MRI contours.
ICIP
Christopher K. Turnes, Justin K. Romberg
2009 J jnl
Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals
CoRR
Joel A. Tropp, Jason N. Laska, Marco F. Duarte, Justin K. Romberg, Richard G. Baraniuk
2009 J jnl
Channel Protection: Random Coding Meets Sparse Channels
CoRR
Muhammad Salman Asif, William Mantzel, Justin K. Romberg
2009 J jnl
Compressive Sensing by Random Convolution.
SIAM J. Imaging Sci.
Justin K. Romberg
2009 — conf
Dantzig selector homotopy with dynamic measurements.
Computational Imaging
Muhammad Salman Asif, Justin K. Romberg
2009 J jnl
Dynamic updating for L1 minimization
CoRR
Muhammad Salman Asif, Justin K. Romberg
2009 Misc conf
Dynamic updating for sparse time varying signals.
CISS
Muhammad Salman Asif, Justin K. Romberg
2009 — conf
Multi-camera tracking on a graph using Markov chain Monte Carlo.
ICDSC
Honggab Kim, Justin K. Romberg, Wayne H. Wolf
2008 B conf
Capturing light field textures for video coding.
ICIP
William Mantzel, Justin K. Romberg
2008 Misc conf
Compressive sensing of parameterized shapes in images.
ICASSP
Ali Cafer Gürbüz, James H. McClellan, Justin K. Romberg, Waymond R. Scott
2008 Misc conf
Compressive sensing on a CMOS separable transform image sensor.
ICASSP
Ryan W. Robucci, Leung Kin Chiu, Jordan D. Gray, Justin K. Romberg, Paul E. Hasler, David V. Anderson
2008 Misc conf
The Dantzig selector and generalized thresholding.
CISS
Justin K. Romberg
2007 J jnl
Errata for Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions.
Found. Comput. Math.
Emmanuel J. Candès, Justin K. Romberg
2006 B conf
Encoding the \ell_p Ball from Limited Measurements.
DCC
Emmanuel J. Candès, Justin K. Romberg
2006 J jnl
Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions.
Found. Comput. Math.
Emmanuel J. Candès, Justin K. Romberg
2006 B conf
Robust Signal Recovery from Incomplete Observations.
ICIP
Emmanuel J. Candès, Justin K. Romberg
2006 J jnl
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information.
IEEE Trans. Inf. Theory
Emmanuel J. Candès, Justin K. Romberg, Terence Tao
2006 Misc conf
Sparse Signal Recovery via l1 Minimization.
CISS
Justin K. Romberg
2006 J jnl
Wavelet-domain approximation and compression of piecewise smooth images.
IEEE Trans. Image Process.
Michael B. Wakin, Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
2005 — conf
Signal recovery from random projections.
Computational Imaging
Emmanuel J. Candès, Justin K. Romberg
2003 — conf
Approximation and compression of piecewise smooth images using a wavelet/wedgelet geometric model.
ICIP (1)
Justin K. Romberg, Michael B. Wakin, Richard G. Baraniuk
2003 C conf
Multiscale geometric image processing.
VCIP
Justin K. Romberg, Michael B. Wakin, Richard G. Baraniuk
2002 B conf
Image Compression using an Efficient Edge Cartoon + Texture Model.
DCC
Michael B. Wakin, Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
2002 — conf
Multiscale wedgelet image analysis: fast decompositions and modeling.
ICIP (3)
Justin K. Romberg, Michael B. Wakin, Richard G. Baraniuk
2002 — conf
Rate-distortion optimized image compression using wedgelets.
ICIP (3)
Justin K. Romberg, Michael B. Wakin, Hyeokho Choi, Richard G. Baraniuk
2001 — conf
Adding linguistic constraints to document image decoding: comparing the iterated complete path and stack algorithms.
Document Recognition and Retrieval
Kris Popat, Daniel H. Greene, Justin K. Romberg, Dan S. Bloomberg
2001 J jnl
Bayesian tree-structured image modeling using wavelet-domain hidden Markov models.
IEEE Trans. Image Process.
Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
2001 — conf
Multiscale edge grammars for complex wavelet transforms.
ICIP (1)
Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
2000 — conf
Bayesian Tree-Structured Image Modeling.
SSIAI
Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
2000 Misc conf
Hidden Markov tree modeling of complex wavelet transforms.
ICASSP
Hyeokho Choi, Justin K. Romberg, Richard G. Baraniuk, Nick G. Kingsbury
2000 B conf
Multiscale Classification Using Complex Wavelets and Hidden Markov Tree Models.
ICIP
Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk, Nick G. Kingsbury
1999 — conf
Bayesian Wavelet-Domain Image Modeling Using Hidden Markov Trees.
ICIP (1)
Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk