Publications Maarten Jansen


  1. M. Jansen and P. Oonincx: Second Generation Wavelets and Applications Springer Verlag, 2005
    (ISBN: 1-85233-916-0)
    see cover, Table Of Contents
  2. M. Jansen: Noise reduction by wavelet thresholding. Springer Verlag, Lecture notes in Statistics, vol. 161, 2001
    (ISBN: 0-387-95244-6)
    see cover

Journal Papers

  1. M. Jansen. Non-equispaced B-spline wavelets. International Journal of Wavelets, Multiresolution and Information Processing (IJWMIP), To Appear, 2016
    PDF at
  2. M. Jansen and M. Amghar. Multiscale Local Polynomial Decompositions using bandwidths as scales. Statistics and Computing, To Appear, 2016
    PDF reprint
  3. M. Jansen. Generalized Cross Validation in variable selection with and without shrinkage. Journal of Statistical Planning and Inference, 159, pages 90-104, 2015.
    PDF reprint
    Journal link
  4. E. M. Ampe, D. Raymaekers, E. L. Hestir, M. Jansen, E. Knaeps, O. Batelaan. A Wavelet-Enhanced Inversion Method for Water Quality Retrieval From High Spectral Resolution Data for Complex Waters. IEEE Transactions on Geoscience and Remote Sensing, 53(2), pages 869-882, Feb. 2015.
  5. M. Jansen. Information criteria for variable selection under sparsity. Biometrika, 101(1), pages 37-55, 2014.
    PDF reprint
  6. E.L. Hestir, M. Bresciani, E. Salvadore, V.E. Brando, A. Dekker, T.J. Malthus, M. Jansen, L. Triest, L. and O. Batelaan. A Wavelet Approach for Estimating Chlorophyll-A From Inland Waters With Refl ectance Spectroscopy. IEEE Geoscience and Remote Sensing Letters, 11(1), pages 89-93, 2014.
  7. M. Jansen. Multiscale local polynomial smoothing in a lifted pyramid for non-equispaced data. IEEE Transactions on Signal Processing, 61(3), pages 545-555, 2013.
    PDF preprint
  8. G. Claeskens, H. Ding and M. Jansen. Lack-of-fit tests in linear mixed models with application to wavelet tests. Journal of Nonparametric Statistics, 23(4), pages 853-865, 2011.
  9. H. Ding, G. Claeskens and M. Jansen. Variable selection in partially linear wavelet models. Statistical Modelling, 11(5), pages 409-427, 2011.
  10. M. Jansen, G. Nason, and B. Silverman. Multiscale methods for data on graphs and irregular multidimensional situations. Journal of the Royal Statistical Society, series B, 71(1), pages 97-125, 2009.
    PDF preprint
  11. W. Van Aerschot, M. Jansen, and A. Bultheel. Normal Mesh based Geometrical Image Compression. Image and Vision Computing, 27(4): pages 459-468, 2009.
  12. M. Jansen. Refinement independent wavelets for use in adaptive multiresolution schemes. International Journal of Wavelets, Multiresolution and Information Processing (IJWMIP), 6 (4): pages 521-539, 2008.
  13. M. Jansen. Stable edge-adaptive multiscale decompositions using updated normal offsets. IEEE Transactions on Signal Processing, 56 (7): pages 2718-2727, Jul. 2008.
  14. M. Jansen. Multiscale Change Point Analysis in Poisson count data. Chemometrics and Intelligent Laboratory Systems, 85 (2): pages 159-169, Feb. 2007.
    PDF preprint
  15. T. Figarella and M.H. Jansen. Brush wear detection by continuous wavelet transform. Mechanical Systems and Signal Processing, 21(3), pages 1212-1222, April 2007.
  16. M. Jansen. Minimum risk thresholds for data with heavy noise. IEEE Signal Processing Letters, 13(5), pages 296-299, May 2006.
    PDF preprint
  17. W. Van Aerschot,M. Jansen, and A. Bultheel. Adaptive splitting for stabilizing 1-D wavelet decompositions on irregular grids. Signal Processing, 86(9), pages 2447-2463, Sep. 2006
    (revised version of TW413 )
  18. M. Jansen. Multiscale Poisson data smoothing. Journal of the Royal Statistical Society, Series B, 68(1), pages 27-48, 2006.
    PDF preprint
  19. V. Delouille, M. Jansen, and R. von Sachs: Second-generation wavelet denoising methods for irregularly spaced data in two dimensions. Signal Processing, 86(7), pages 1435-1450, 2006.
    (revised version of UCL-Stat 0305)
  20. M. Jansen, R. Baraniuk, and S. Lavu. Multiscale Approximation of Piecewise Smooth Two-Dimensional Functions using Normal Triangulated Meshes. Appl. Comp. Harm. Anal., 19(1), pages 92-130, 2005.
    (revised version of TW354)
  21. A. Di Bucchianico, T. Figarella, G. Hulskeni, M.H. Jansen, H.P. Wynn. A Multi-scale Approach to Functional Signature Analysis for Product End-of-Life Management. Quality Reliability Engineering International, 20(5), pages 457-467, 2004.
  22. E. Vanraes, M. Jansen and A. Bultheel. Stabilized wavelet transforms for non-equispaced data smoothing. Signal Processing, 82(12), pages 1979-1990, December 2002.
    (revised version of TW319)
  23. M. Jansen and A. Bultheel. Asymptotic behavior of the minimum mean squared error threshold for noisy wavelet coefficients of piecewise smooth signals. IEEE Trans. on Signal Proc., 49(6), pages 1113-1118, June 2001.
    (revised version of TW294)
  24. M. Jansen and A. Bultheel. Empirical Bayes approach to improve wavelet thresholding for image noise reduction. J. of the Amer. Statist. Assoc. (JASA), 96(454), pages 629-639, June 2001.
    (revised version of TW296)
  25. M. Jansen and A. Bultheel. Multiple wavelet threshold estimation by generalized cross validation for images with correlated noise. IEEE Trans. on Image Proc., 8(7): pages 947-953, July 1999.
    (revised and shortened version of TW250)
  26. M. Jansen and A. Bultheel. Image de-noising by integer wavelet transforms and generalized cross validation. Medical Physics, 26(4), pages 622-630, April 1999.
    (revised version of TW264)
  27. M. Jansen, M. Malfait and A. Bultheel. Generalized Cross Validation for wavelet thresholding. Signal Processing, 56(1): pages 33-44, January 1997.
    PDF preprint
    abstract, postscript

Book chapters

  1. M. Jansen: Multiscale change-point analysis of inhomogeneous Poisson processes using unbalanced wavelet decompositions. In Progress in Industrial Mathematics at ECMI 2004 , A. Di Bucchianico, R. M. M. Mattheij, and M. A. Peletier, eds., Springer-Verlag, Mathematics in Industry, The European Consortium for Mathematics in Industry, volume 8, pages 595-599, 2005
  2. H. Wynn, T. Figarella, A. Di Bucchianico, M. Jansen, W. Bergsma: End of Life Analysis, in Modern Statistical and Mathematical Methods in Reliability , A. Wilson, N. Limnios, S. Keller-McNulty, and Y. Armijo, eds., World Scientific, Imperial College Press, Series on Quality, Reliability and Engineering Statistics, volume 10, pages 73-86, 2005.
  3. M. Jansen: Wavelet thresholding on non-equispaced data , in Nonlinear Estimation and Classification, D. D. Denison, M. H. Hansen, C. C. Holmes, B. Mallick, and B. Yu, editors, Springer Verlag 2002, Lecture notes in Statistics, vol. 171, pages 261-272
  4. M. Jansen and A. Bultheel: Geometrical Priors for Noisefree Wavelet Coefficient Configurations in Image De-noising in Bayesian inference in wavelet based models, P. Müller and B. Vidakovic, editors, Springer Verlag 1999, Lecture notes in Statistics, vol. 141, pages 223-242.

My Ph.D. dissertation

(Some) Conference proceedings

  1. M. Jansen, G. Nason, and B. Silverman: Scattered data smoothing by empirical Bayesian shrinkage of second generation wavelet coefficients, in M. Unser and A. Aldroubi, Editors, Wavelet Applications in Signal and Image Processing IX Proceedings of SPIE Vol. 4478, pages 87 - 97, 2001.
  2. M. Jansen and A. Bultheel: Geometrical priors in a Bayesian approach to improve wavelet threshold procedures, in M. Unser and A. Aldroubi, Editors, Wavelet Applications in Signal and Image Processing VII Proceedings of SPIE Vol. 3813, pages 580 - 590, 1999
  3. M. Jansen and A. Bultheel: Smoothing non-equidistantly sampled data using wavelets and cross validation , in Proceedings of the IEEE Benelux Signal Processing Symposium, pages 111 - 114, Leuven, Belgium, March 1998.
  4. M. Jansen and A. Bultheel: Experiments with Wavelet based Image De-noising using Generalized Cross Validation, in Keneth M. Hanson, Editor, Medical Imaging 1997: Image Processing, Proceedings of SPIE Vol. 3034, pages 206 - 214, 1997

Publications at previous positions

Here are links to publication data bases at my previous affiliations
  1. KULeuven

Available Software (mostly matlab)

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