Journal Publications

  • T. Sanders. Phase-Based Alignment and Improved Projection Matching of Parallel Beam Tomography Data. IEEE Transactions on Computational Imaging (2018) vol. 4, no. 3, pp. 395-405.
  • T. Scarnati, A. Gelb, R.B. Platte. Using l1 Regularization to Improve Numerical Partial Differential Equation Solvers. Journal of Scientific Computing (submitted).
  • T. Sanders, C. Dwyer. Subsampling and Inpainting Strategies for Electron Tomography. Ultramicroscopy 182 (2017): 292-302.
  • T. Sanders, I. Arslan. Improved 3-D Resolution of Electron Tomograms using Robust Mathematical Data Processing Techniques. Microscopy and Microanalysis 1-9. doi:10.1017/S1431927617012636
  • T. Sanders. Parameter Selection for HOTV Regularization. Applied Numerical Mathematics (accepted for publication).
  • B. Adcock, R.B. Platte, A. Shadrin. Optimal sampling rates for approximating analytic functions from pointwise samples. IMA Journal of Numerical Analysis (submitted).
  • T. Sanders, R.B. Platte. Multiscale Higher Order TV Operators for l1 Regularization and Their Relationship to Daubechies Wavelets. Jour. on Inv. Prob. (submitted).
  • T. Sanders, A. Gelb, R.B. Platte. Composite SAR Imaging Using Sequential Joint Sparsity. J. Comput. Phys., 338 (2017) 357-370.
  • T. Sanders, A. Gelb, R.B. Platte, I. Arslan, K. Landskron. Recovering Fine Details from Under-Resolved Electron Tomography Data using Higher Order Total Variation l1 Regularization. Ultramicroscopy, 174 (2017) 97-105.


  • T. Sanders, T. Scarnati. Combination of correlated phase error correction and sparsity models for SAR, Proc. SPIE, 10222 (2017) Computational Imaging II, 102220E (2017) doi: 10.1117/12.2262861.
  • T. Scarnati, E. Zelino, C. Paulson. Exploiting the sparsity of edge information in synthetic aperture radar imagery for speckle reduction. Proc. SPIE, 10201, Algorithms for Synthetic Aperture Radar Imagery XXIV, 102010C (2017) doi: 10.1117/12.2267790.