Algorithmic differentiation

Submitted papers, preprints

Published

  • Coming soon

Compressed sensing and applications

Submitted papers, preprints

  • J.-L. Bouchot, Weighted block compressed sensing for parametrized function approximation, In progress, September 2024, arXiv:1811.04598, and PDF file.
  • J.-L. Bouchot, H. Rauhut, C. Schwab, Multi-Level Compressed Sensing Petrov-Galerkin Discretization for High-Dimensional Parametric PDEs, In preogress, September 2024, arXiv:1701.01671, and PDF file.

Published

  • R. Aceska, J.-L. Bouchot, S. Li, Local sparsity and recovery of fusion frames structured signals, Accepted, Signal Processing, April 2020, arXiv:1604.00424, and PDF file.
  • B. Bah, J.-L. Bouchot, Editorial: Recent Developments in Signal Approximation and Reconstruction, Front. Appl. Math. Stat., 17 March 2020, OpenAccess. This is part of the special issue we edited.
  • R. Aceska, J.-L. Bouchot, S. Li, Fusion Frames and Distributed Sparsity, Contemporary Mathematics, 2017, PDF file.
  • J.-L. Bouchot, S. Foucart, P. Hitczenko, Hard thresholding pursuit algorithms: number of iterations, Applied and Computational Harmonic Analysis, 41/2, 412--435, 2016, PDF file.
  • J.-L. Bouchot, B. Bykowski, H. Rauhut, C. Schwab, Compressed Sensing Petrov-Galerkin Approximations for Parametric PDEs, 2015 International Conference on Sampling Theory and Applications (SampTA), Washington, DC, 528--532, 2015 PDF file.
  • J.-L. Bouchot, L. Cao Numerical solution of underdetermined systems from partial linear circulant measurements , 2015 International Conference on Sampling Theory and Applications (SampTA), Washington, DC, 264--268, 2015 PDF file.

Signal and data processing

Published

  • J.-L. Bouchot, K. Hamm, Stability and robustness of RBF Interpolation, Sampling Theory in Signal and Image Processing, 16,37--53, 2017, arXiv:1603.05168, and PDF file.
  • J.-L. Bouchot, F. Bauer, Discrepancy norm: Approximation and variations, Journal of Computational and Applied Mathematics, 272, 162--179,2014, PDF file.
  • J.-L. Bouchot A generalized class of hard thresholding algorithms for sparse signal recovery, Approximation Theory XIV: San Antonio 2013, 45--63, 2014, PDF.
  • J.-L. Bouchot, F. Morain-Nicolier, Scaled-distance-transforms and monotonicity of autocorrelations, IEEE Signal Processing Letters, 21/10, 1235--1239, 2014, PDF file.
  • J.-L. Bouchot, W. Trimble, G. Ditzler, Y. Lan, S. Essinger and G. Rosen, Advances in machine learning for processing and comparison of metagenomic data Computational Systems Biology (Second Edition), Academic Press, 295--329, 2014, PDF file.
  • S. Bernstein, J.-L. Bouchot, M. Reinhardt, B. Heise, Generalized analytic signals in image processing: Comparison, theory and applications, Quaternion and Clifford Fourier Transforms and Wavelets, 221-246, 2013, PDF file.
  • G. Ditzler, Y. Lan, J.-L. Bouchot, and G. Rosen, Variable selection to improve classification of metagenomes, Encyclopedia of metagenomics, 2013, PDF file.
  • E. Leiss-Holzinger, U. Cakmak, B. Heise, J.-L. Bouchot, E. Klement, M. Leitner, D. Stifter, Z. Major Evaluation of structural change and local strain distribution in polymers comparatively imaged by FFSA and OCT techniques Express Polymer Letters, 6/3, 249--256, 2012, PDF file.
  • G. Stübl, J.-L. Bouchot, P. Haslinger, B. Moser, Discrepancy norm as fitness for defect for defect detection on regularly textured surfaces, DAGM/OAGM 2012: Pattern Recognition, 428--437, 2012, PDF file.
  • E. Lughofer, J.-L. Bouchot, A. Shaker On-Line Elimination of Local Redundancies in Evolving Fuzzy Systems, Evolving Systems, 2/3, 165--187, 2011, PDF file.
  • D. Stifter, E. Leiss-Holzinger, Heise, J.-L. Bouchot, Z. Major, M., Pircher, E. Götzinger, B. Baumann, C. K. Hitzenberger, Spectral domain polarization sensitive optical coherence tomography at 1.55 µm: novel developments and applications for dynamic studies in materials science, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XV, Proceedings of SPIE Vol. 7889 (SPIE, Bellingham, WA 2011) 78890Z, 2011, PDF file.
  • J.-L. Bouchot, G. Stübl, B. Moser, A template matching approach based on the discrepancy norm for defect detection on regularly textured surfaces, Proceedings Volume 8000, Tenth International Conference on Quality Control by Artificial Vision; 80000K, 2011, PDF file
  • B. Moser, G. Stübl and J.-L. Bouchot, On a Non-Monotonicity Effect of Similarity Measures, Similarity-Based Pattern Recognition (SIMBAD 2011), 46-60, Springer, 2011, PDF file.
  • J.-L. Bouchot, J. Himmelbauer, B. Moser, On autocorrelation based on Hermann Weyl's discrepancy norm for time series analysis, The 2010 International Joint Conference on Neural Networks (IJCNN), Barcelona, 1--7, 2010, PDF file.

Last Update: Sept. 12, 2024