Recent Publications

Recent Publications

 

  • Z. Zhu, S. Karnik, M. A. Davenport, J. Romberg, M. B. Wakin, “The eigenvalue distribution of discrete time-frequency limiting operators,” IEEE Signal Processing Letters, vol. 25, no. 1, January 2018. [IEEE], [arxiv]
  • A. Aghasi, A. Abdi, N. Nguyen, and J. Romberg, “Net-Trim: A layer-wise convex pruning of deep neural networks,” NIPS, December 2017. [NIPS], [pdf], [youtube]
  • A. Amaravati, S. Xu, J. Romberg, A. Raychowdhury, “A 65nm compressive-sensing time-based ADC with embedded classification and INL-aware training for arrhythmia detection,” BioCAS, October 2017. [pdf]
  • Z. Zhu, S. Karnik, M. B. Wakin, M. A. Davenport, J. Romberg, “ROAST: Rapid orthogonal approximate Slepian transform,” Preprint, December 2017. [arxiv]
  • A. Aghasi and J. Romberg, “Extracting the principal shape components via convex programming,” Preprint, September 2017. [pdf]
  • S. Bahmani and J. Romberg, “A flexible convex relaxation for phase retrieval,” Electronic Journal of Statistics, vol. 11, no. 2 (2017), 5254-5281. [EJS] [pdf]
  • S. Bahmani and J. Romberg, “Solving Equations of Random Convex Functions via Anchored Regression,” Preprint, September 2017. [arxiv]
  • S. Bahmani, P. Tetali, and J. Romberg, “Algebraic connectivity under site percolation in finite weighted graphs,” IEEE Trans. Network Science and Engineering, September 2017.  [IEEE] [arxiv]
  • K. Lee, F. Krahmer, and J. Romberg, “Spectral methods for passive imaging: Non-asymptotic performance and robustness,” Preprint, August 2017. [arxiv]
  • K. Lee, N. Tian, J. Romberg, “Performance guarantees of spectral methods for passive sensing of multiple channels,” DSP Conf., August 2017. [IEEE] [pdf]
  • A. Anvesha, S. Xu, N. Cao, J. Romberg, and A. Raychowdhury, “A light-powered smart camera with compressed domain gesture detection,” IEEE Trans. Circuits and Systems for Video Technology, July 2017. [IEEE]
  • K. Lee, F. Krahmer, and J. Romberg, “An eigen approach to stable multichannel blind deconvolution under an FIR subspace model,” SAMPTA, July 2017. [pdf]  [IEEE]
  • S. Karnik, Z. Zhu, M. B. Wakin, J. Romberg, and M. A. Davenport, “The fast Slepian transform,” Applied and Computational Harmonic Analysis, In Press, July 2017. [arxiv] [ACHA]
  • N. Tian, S-H. Byun, K. Sabra, and J. Romberg, “Multichannel myopic deconvolution in underwater acoustic channels via low-rank recovery,” J. Acoustical Soc. America, 141, 3337, May 2017. [JASA][pdf]
  • S. Bahmani and J. Romberg, “Phase retrieval meets statistical learning theory: A flexible convex relaxation,” AISTATS, April 2017. [pdf]
  • N. Zachariah, J. Langley, J. Romberg, X. P. Hu, “Faster than mulitband … Advanced Pseudo Fourier Imaging’s (API) response to the current state of the art,” ISMRM, April 2017.  [ISMRM]
  • A. Amaravati, S. Xu, J. Romberg, and A. Raychowdhury, “A 130nm 165nJ/frame compressed-domain camera front end with mixed-signal smashed filter Classifier for ‘in-sensor’ analytics in smart cameras,” IEEE Trans. Circuits and Systems II: Express Briefs, April 2017.  [IEEE]
  • J. Romberg, “Sampling and reconstruction in the 21st century,” ICASSP, March 2017. [IEEE][pdf]
  • S. Xu, A. Amaravati, J. Romberg, and A. Raychowdhury, “Appearance-based gesture recognition in the compressed domain,” ICASSP, March 2017.  [IEEE]
  • Z. Zhu, S. Karnik, M. B. Wakin, M. A. Davenport, and J. Romberg, “Fast orthogonal approximations of sampled sinusoids and bandlimited signals,” ICASSP, March 2017.  [IEEE]
  • S. Karnik, Z. Zhu, M. B. Wakin, J. Romberg, and M. A. Davenport, “Fast Computations for Approximation and Compression in Slepian Spaces,” GlobalSIP, December 2016.  [IEEE]
  • L. F. Jorver, J. Romberg, and J. Weitz, “Inferring phage–bacteria infection networks from time-series data,” Royal Society Open Science, November 2016. [rs] [biorxiv]
  • K. Lee, N. Tian, and J. Romberg, “Fast and guaranteed blind multichannel deconvolution under a bilinear system model,” Preprint, October 2016. [arxiv]
  • A. Redo-Sanchez, B. Heshmat, A. Aghasi, S, Naqvi, M. Zhang, J. Romberg, and R. Raskar, “Terahertz time-gated spectral imaging for content extraction through layered Structures,” Nature Communications, vol. 7, September 9, 2016. [ncomm]
  • A. Aghasi and J. Romberg, Learning Shapes by Convex Composition, Preprint, July 2016.  [arxiv]
  • A. Aghasi, B. Heshmat, A. Redo-Sanchez, J. Romberg, R. Raskar, Blind Demodulation: Defringing of Interreflections in Time Domain THz Spectroscopy, Optica 3(7), 754-762, 2016.
  • A. Amaravati, S. Xu, N. Cao, J. Romberg, A. Raychowdhury, A Light-powered, “Always-On” Smart Camera with Compressed Domain Gesture Detection, ISLPED, August 2016.
  • M. Davenport and J. Romberg, An Overview of Low-Rank Matrix Recovery from Incomplete Observations, Journal on Special Topics in Signal Processing, vol. 10, no. 4, pp. 608–622, 2016.
  • S. Bahmani and J. Romberg, “Near-Optimal Estimation of Simultaneously Sparse and Low-Rank Matrices from Nested Linear Measurements,” to appear in Information and Inference, published on- line May 2016.
  • S. Bahmani and J. Romberg, ”Efficient Compressive Phase Retrieval with Constrained Sensing Vectors,” Neural Information Processing Systems, Montreal, Canada, December 2015.
  • S. Bahmani and J.Romberg, ”Sketching for Simultaneously Sparse and Low-Rank Covariance Matrices,” IEEE Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico, December 2015.
  • A. Aghasi and J.Romberg, “Convex cardinal shape composition,” SIAM Journal on Imaging Science, vol. 8, no. 4, pp. 2887–2950, 2015.
  • S. Bahmani and J. Romberg, “Compressive deconvolution in random mask imaging,” IEEE Transactions on Computational Imaging, vol. 1, no. 4, pp. 236–246, 2015.
  • S. Bahmani and J. Romberg, “Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation,” SIAM Journal on Imaging Science, vol. 8, no. 4, pp. 2203–2238, 2015.
  • W. Mantzel and J. Romberg, “Compressed Subspace Matching on the Continuum,” Information and Inference, vol. 4, no. 2, pp. 79–107, 2015.
  • A. Balavoine, J. Romberg, and C. Rozell, “Discrete and continuous iterative soft thresholding with a dynamic input,” IEEE Transactions on Signal Processing, vol. 63, no. 12, pp. 3165–3176, 2015.
  • A. Ahmed and J. Romberg, “Compressive Multiplexing of Correlated Signals,” IEEE Transactions on Information Theory, vol. 61, no. 1, pp. 479–498, 2015.
  • C. Turnes, D. Balcan, and J. Romberg, “Superfast Tikhonov Regularization of Toeplitz Systems,” IEEE Transactions on Signal Processing, vol. 62, no. 15, pp. 3809–3821, 2014.
  • K. Sabra, J. Romberg, S. Lani, and F. L. Degertekin, “High-frequency passive ultrasonics at sub- Nyquist rates using TM noise,” Journal of the Acoustical Society of America, vol. 135, no. 6, pp. EL364–370, 2014.
  • A. Ahmed, B. Recht, and J. Romberg, “Blind Deconvolution using Convex Programming,” IEEE Transactions on Information Theory, vol. 60, no. 3, pp. 1711–1732, 2014.
  • W. Mantzel, J. Romberg, and K. Sabra, “Round-Robin Multiple-Source Localization,” Journal of the Acoustical Society of America, vol. 134, no. 1, pp. 134–147, 2014.
  • M. S. Asif and J. Romberg, “Sparse recovery of streaming signals using l1 homotopy,” IEEE Transactions on Signal Processing, vol. 62, no. 16, pp. 4209–4223, 2014.
  • S. Yang, J. Huang, A. Lall, J. Romberg, and J. Xu, “Error estimating codes for insertion and deletion channels,” SIGMETRICS, Austin, Texas, June 2014.