Justin K. Romberg

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 9

Top Topics

Shape Reconstruction

Compressive Sampling

Sparse Approximation

Tikhonov Regularization

Top Venues

IEEE Trans. Signal Process.

IEEE Trans. Inf. Theory

Publications

Jihui Jin, Etienne Ollivier, Richard Touret, Matthew McKinley, Karim G. Sabra, Justin K. Romberg
PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems. CoRR (2023)
Zhihui Zhu, Santhosh Karnik, Michael B. Wakin, Mark A. Davenport, Justin K. Romberg
Fast orthogonal approximations of sampled sinusoids and bandlimited signals. ICASSP (2017)
Sohail Bahmani, Justin K. Romberg, Prasad Tetali
Algebraic Connectivity Under Site Percolation in Finite Weighted Graphs. CoRR (2016)
Alireza Aghasi, Justin K. Romberg
Object Learning and Convex Cardinal Shape Composition. CoRR (2016)
Alireza Aghasi, Barmak Heshmat, Albert Redo-Sanchez, Justin K. Romberg, Ramesh Raskar
Sweep Distortion Removal from THz Images via Blind Demodulation. CoRR (2016)
Mark A. Davenport, Justin K. Romberg
An overview of low-rank matrix recovery from incomplete observations. CoRR (2016)
Michael B. Wakin, Rémi Gribonval, Visa Koivunen, Justin K. Romberg, John Wright
Introduction to the Issue on Structured Matrices in Signal and Data Processing. IEEE J. Sel. Top. Signal Process. 10 (4) (2016)
Santhosh Karnik, Zhihui Zhu, Michael B. Wakin, Justin K. Romberg, Mark A. Davenport
Fast computations for approximation and compression in Slepian spaces. GlobalSIP (2016)
Mark A. Davenport, Justin K. Romberg
An Overview of Low-Rank Matrix Recovery From Incomplete Observations. IEEE J. Sel. Top. Signal Process. 10 (4) (2016)
Ali Ahmed, Justin K. Romberg
Compressive Multiplexing of Correlated Signals. IEEE Trans. Inf. Theory 61 (1) (2015)
Alireza Aghasi, Justin K. Romberg
Convex cardinal shape composition and object recognition in computer vision. ACSSC (2015)
Sohail Bahmani, Justin K. Romberg
Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation. CoRR (2015)
Sohail Bahmani, Justin K. Romberg
Near-Optimal Estimation of Simultaneously Sparse and Low-Rank Matrices from Nested Linear Measurements. CoRR (2015)
Sohail Bahmani, Justin K. Romberg
Sketching for Simultaneously Sparse and Low-Rank Covariance Matrices. CoRR (2015)
Sohail Bahmani, Justin K. Romberg
Efficient Compressive Phase Retrieval with Constrained Sensing Vectors. CoRR (2015)
Sohail Bahmani, Justin K. Romberg
Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation. SIAM J. Imaging Sci. 8 (4) (2015)
Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg
Discrete and Continuous-Time Soft-Thresholding for Dynamic Signal Recovery. IEEE Trans. Signal Process. 63 (12) (2015)
Sohail Bahmani, Justin K. Romberg
Efficient Compressive Phase Retrieval with Constrained Sensing Vectors. NIPS (2015)
Alireza Aghasi, Justin K. Romberg
Convex Cardinal Shape Composition. SIAM J. Imaging Sci. 8 (4) (2015)
Sohail Bahmani, Justin K. Romberg
Sketching for simultaneously sparse and low-rank covariance matrices. CAMSAP (2015)
Ali Ahmed, Justin K. Romberg
Compressive Sampling of Ensembles of Correlated Signals. CoRR (2015)
Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg
Iterative soft-thresholding for time-varying signal recovery. ICASSP (2014)
Sohail Bahmani, Justin K. Romberg
Compressive Deconvolution in Random Mask Imaging. CoRR (2014)
Xinyue Shen, Justin K. Romberg, Yuantao Gu
Robust off-grid recovery from compressed measurements. ICASSP (2014)
M. Salman Asif, Justin K. Romberg
-Homotopy. IEEE Trans. Signal Process. 62 (16) (2014)
Aurele Balavoine, Justin K. Romberg, Christopher J. Rozell
Correction to "Convergence and Rate Analysis of Neural Networks for Sparse Approximation". IEEE Trans. Neural Networks Learn. Syst. 25 (8) (2014)
Ali Ahmed, Benjamin Recht, Justin K. Romberg
Blind Deconvolution Using Convex Programming. IEEE Trans. Inf. Theory 60 (3) (2014)
Jiwei Huang, Sen Yang, Ashwin Lall, Justin K. Romberg, Jun (Jim) Xu, Chuang Lin
Error estimating codes for insertion and deletion channels. SIGMETRICS (2014)
Christopher K. Turnes, Doru Balcan, Justin K. Romberg
Superfast Tikhonov Regularization of Toeplitz Systems. IEEE Trans. Signal Process. 62 (15) (2014)
William Mantzel, Justin K. Romberg
Compressed Subspace Matching on the Continuum. CoRR (2014)
Alireza Aghasi, Justin K. Romberg
Sparse Shape Reconstruction. SIAM J. Imaging Sci. 6 (4) (2013)
M. Salman Asif, Felix Fernandes, Justin K. Romberg
Low-complexity video compression and compressive sensing. ACSSC (2013)
Muhammad Salman Asif, Justin K. Romberg
-Norm Minimization. IEEE Trans. Signal Process. 61 (23) (2013)
Alireza Aghasi, Sohail Bahmani, Justin K. Romberg
A tightest convex envelope heuristic to row sparse and rank one matrices. GlobalSIP (2013)
Muhammad Salman Asif, Justin K. Romberg
Sparse Recovery of Streaming Signals Using L1-Homotopy. CoRR (2013)
Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg
Convergence Speed of a Dynamical System for Sparse Recovery. IEEE Trans. Signal Process. 61 (17) (2013)
Alireza Aghasi, Justin K. Romberg
Sparse Shape Reconstruction CoRR (2013)
Aurele Balavoine, Christopher J. Rozell, Justin K. Romberg
Convergence of a neural network for sparse approximation using the nonsmooth Łojasiewicz inequality. IJCNN (2013)
Ali Ahmed, Justin K. Romberg
Compressive sampling in array processing. CAMSAP (2013)
Han Lun Yap, Aurele Balavoine, William Mantzel, Ning Tian, Darryl Sale, Alireza Aghasi, Justin K. Romberg
Poutine: A correlation estimator for ergodic stationary signals. ICASSP (2013)
Ali Ahmed, Justin K. Romberg
Compressive Multiplexing of Correlated Signals. CoRR (2013)
Armin Eftekhari, Justin K. Romberg, Michael B. Wakin
Matched Filtering From Limited Frequency Samples. IEEE Trans. Inf. Theory 59 (6) (2013)
Christopher K. Turnes, Justin K. Romberg
Efficient Calculations of 3-D FFTs on Spiral Contours. J. Sci. Comput. 50 (3) (2012)
Darryl Sale, Christopher J. Rozell, Justin K. Romberg, Aaron D. Lanterman
Compressive ladar detector noise performance. ACSCC (2012)
Ali Ahmed, Justin K. Romberg
Compressive multiplexers for correlated signals. ACSCC (2012)
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
A Nonuniform Sampler for Wideband Spectrally-Sparse Environments. IEEE J. Emerg. Sel. Topics Circuits Syst. 2 (3) (2012)
Aurele Balavoine, Justin K. Romberg, Christopher J. Rozell
Convergence and Rate Analysis of Neural Networks for Sparse Approximation. IEEE Trans. Neural Networks Learn. Syst. 23 (9) (2012)
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
A Compressed Sensing Parameter Extraction Platform for Radar Pulse Signal Acquisition. IEEE J. Emerg. Sel. Topics Circuits Syst. 2 (3) (2012)
Darryl Sale, Christopher J. Rozell, Justin K. Romberg, Aaron D. Lanterman
Compressive LADAR in realistic environments. SSP (2012)
Muhammad Salman Asif, Justin K. Romberg
Fast and Accurate Algorithms for Re-Weighted L1-Norm Minimization CoRR (2012)
Christopher K. Turnes, Doru Balcan, Justin K. Romberg
Image deconvolution via superfast inversion of a class of two-level Toeplitz matrices. ICIP (2012)
Ali Ahmed, Benjamin Recht, Justin K. Romberg
Blind Deconvolution using Convex Programming CoRR (2012)
Adam S. Charles, Muhammad Salman Asif, Justin K. Romberg, Christopher J. Rozell
Sparsity penalties in dynamical system estimation. CISS (2011)
Ali Ahmed, Justin K. Romberg
Compressive sampling of correlated signals. ACSCC (2011)
William Mantzel, Justin K. Romberg, Karim Sabra
Compressive Matched-Field Processing CoRR (2011)
Armin Eftekhari, Justin K. Romberg, Michael B. Wakin
Matched Filtering from Limited Frequency Samples CoRR (2011)
Muhammad Salman Asif, Adam S. Charles, Justin K. Romberg, Christopher J. Rozell
Estimation and dynamic updating of time-varying signals with sparse variations. ICASSP (2011)
Holger Rauhut, Justin K. Romberg, Joel A. Tropp
Restricted Isometries for Partial Random Circulant Matrices CoRR (2010)
Nan Hua, Ashwin Lall, Justin K. Romberg, Jun (Jim) Xu, Mustafa al'Absi, Emre Ertin, Santosh Kumar, Shikhar Suri
Just-in-time sampling and pre-filtering for wearable physiological sensors: going from days to weeks of operation on a single charge. Wireless Health (2010)
Justin K. Romberg
An overview of recent results on the identification of sparse channels using random probes. CDC (2010)
Joel A. Tropp, Jason N. Laska, Marco F. Duarte, Justin K. Romberg, Richard G. Baraniuk
Beyond Nyquist: efficient sampling of sparse bandlimited signals. IEEE Trans. Inf. Theory 56 (1) (2010)
Muhammad Salman Asif, Justin K. Romberg
Minimization. IEEE J. Sel. Top. Signal Process. 4 (2) (2010)
Christopher K. Turnes, Justin K. Romberg
Spiral FFT: An efficient method for 3-D FFTS on spiral MRI contours. ICIP (2010)
Muhammad Salman Asif, Justin K. Romberg
On the LASSO and Dantzig selector equivalence. CISS (2010)
William Mantzel, Justin K. Romberg
Functional vanishing point estimation via a filtered-Radon operator. ICIP (2010)
William Mantzel, Justin K. Romberg, Karim Sabra
Randomized group testing for acoustic source localization. Computational Imaging (2010)
Ryan W. Robucci, Jordan D. Gray, Leung Kin Chiu, Justin K. Romberg, Paul E. Hasler
Compressive Sensing on a CMOS Separable-Transform Image Sensor. Proc. IEEE 98 (6) (2010)
Muhammad Salman Asif, Justin K. Romberg
Dantzig selector homotopy with dynamic measurements. Computational Imaging (2009)
Justin K. Romberg
Compressive Sensing by Random Convolution. SIAM J. Imaging Sci. 2 (4) (2009)
Muhammad Salman Asif, William Mantzel, Justin K. Romberg
Channel Protection: Random Coding Meets Sparse Channels CoRR (2009)
Joel A. Tropp, Jason N. Laska, Marco F. Duarte, Justin K. Romberg, Richard G. Baraniuk
Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals CoRR (2009)
Honggab Kim, Justin K. Romberg, Wayne H. Wolf
Multi-camera tracking on a graph using Markov chain Monte Carlo. ICDSC (2009)
Muhammad Salman Asif, Justin K. Romberg
Dynamic updating for sparse time varying signals. CISS (2009)
Muhammad Salman Asif, Justin K. Romberg
Dynamic updating for L1 minimization CoRR (2009)
William Mantzel, Justin K. Romberg
Capturing light field textures for video coding. ICIP (2008)
Ryan W. Robucci, Leung Kin Chiu, Jordan D. Gray, Justin K. Romberg, Paul E. Hasler, David V. Anderson
Compressive sensing on a CMOS separable transform image sensor. ICASSP (2008)
Justin K. Romberg
The Dantzig selector and generalized thresholding. CISS (2008)
Ali Cafer Gürbüz, James H. McClellan, Justin K. Romberg, Waymond R. Scott
Compressive sensing of parameterized shapes in images. ICASSP (2008)
Emmanuel J. Candès, Justin K. Romberg
Errata for Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions. Found. Comput. Math. 7 (4) (2007)
Justin K. Romberg
Sparse Signal Recovery via l1 Minimization. CISS (2006)
Emmanuel J. Candès, Justin K. Romberg, Terence Tao
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans. Inf. Theory 52 (2) (2006)
Emmanuel J. Candès, Justin K. Romberg
Encoding the \ell_p Ball from Limited Measurements. DCC (2006)
Emmanuel J. Candès, Justin K. Romberg
Robust Signal Recovery from Incomplete Observations. ICIP (2006)
Emmanuel J. Candès, Justin K. Romberg
Quantitative Robust Uncertainty Principles and Optimally Sparse Decompositions. Found. Comput. Math. 6 (2) (2006)
Michael B. Wakin, Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
Wavelet-domain approximation and compression of piecewise smooth images. IEEE Trans. Image Process. 15 (5) (2006)
Emmanuel J. Candès, Justin K. Romberg
Signal recovery from random projections. Computational Imaging (2005)
Justin K. Romberg, Michael B. Wakin, Richard G. Baraniuk
Approximation and compression of piecewise smooth images using a wavelet/wedgelet geometric model. ICIP (1) (2003)
Justin K. Romberg, Michael B. Wakin, Richard G. Baraniuk
Multiscale geometric image processing. VCIP (2003)
Justin K. Romberg, Michael B. Wakin, Richard G. Baraniuk
Multiscale wedgelet image analysis: fast decompositions and modeling. ICIP (3) (2002)
Michael B. Wakin, Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
Image Compression using an Efficient Edge Cartoon + Texture Model. DCC (2002)
Justin K. Romberg, Michael B. Wakin, Hyeokho Choi, Richard G. Baraniuk
Rate-distortion optimized image compression using wedgelets. ICIP (3) (2002)
Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
Multiscale edge grammars for complex wavelet transforms. ICIP (1) (2001)
Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
Bayesian tree-structured image modeling using wavelet-domain hidden Markov models. IEEE Trans. Image Process. 10 (7) (2001)
Kris Popat, Daniel H. Greene, Justin K. Romberg, Dan S. Bloomberg
Adding linguistic constraints to document image decoding: comparing the iterated complete path and stack algorithms. Document Recognition and Retrieval (2001)
Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk, Nick G. Kingsbury
Multiscale Classification Using Complex Wavelets and Hidden Markov Tree Models. ICIP (2000)
Hyeokho Choi, Justin K. Romberg, Richard G. Baraniuk, Nick G. Kingsbury
Hidden Markov tree modeling of complex wavelet transforms. ICASSP (2000)
Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
Bayesian Tree-Structured Image Modeling. SSIAI (2000)
Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk
Bayesian Wavelet-Domain Image Modeling Using Hidden Markov Trees. ICIP (1) (1999)