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.
Proceedings
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.