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Publications of Ingrid Daubechies    :recent first  combined  bibtex listing:

Papers Published

  1. Polatkan, G; Zhou, M; Carin, L; Blei, D; Daubechies, I, A Bayesian Nonparametric Approach to Image Super-Resolution., IEEE transactions on pattern analysis and machine intelligence, vol. 37 no. 2 (February, 2015), pp. 346-358 [1209.5019v1], [doi]  [abs]
  2. Friedlander, S; Birman, JS; Daubechies, I, A celebration or women in mathematics, Notices of the American Mathematical Society, vol. 42 no. 1 (January, 1995), pp. 32-42, ISSN 0002-9920
  3. Aerts, D; Daubechies, I, A characterization of subsystems in physics, Letters in Mathematical Physics, vol. 3 no. 1 (January, 1979), pp. 11-17, Springer Nature, ISSN 0377-9017 [doi]  [abs]
  4. Pu, W; Sober, B; Daly, N; Higgitt, C; Daubechies, I; Rodrigues, MRD, A connected auto-encoders based approach for image separation with side information: With applications to art investigation, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2020-May (May, 2020), pp. 2213-2217, ISBN 9781509066315 [doi]  [abs]
  5. Daubechies, I; Huang, Y, A decay theorem for refinable functions, Applied Mathematics Letters, vol. 7 no. 4 (January, 1994), pp. 1-4, Elsevier BV, ISSN 0893-9659 [doi]  [abs]
  6. Daubechies, I; Drakakis, K; Khovanova, T, A detailed study of the attachment strategies of new autonomous systems in the as connectivity graph, Internet Mathematics, vol. 2 no. 2 (January, 2005), pp. 185-246, Internet Mathematics [doi]  [abs]
  7. Daubechies, I; Saab, R, A Deterministic Analysis of Decimation for Sigma-Delta Quantization of Bandlimited Functions, IEEE Signal Processing Letters, vol. 22 no. 11 (November, 2015), pp. 2093-2096, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1070-9908 [doi]  [abs]
  8. Pu, W; Huang, J; Sober, B; Daly, N; Higgitt, C; Dragotti, PL; Daubechies, I; Rodrigues, MRD, A Learning Based Approach to Separate Mixed X-Ray Images Associated with Artwork with Concealed Designs, European Signal Processing Conference, vol. 2021-August (January, 2021), pp. 1491-1495, ISBN 9789082797060 [doi]  [abs]
  9. Aerts, D; Daubechies, I, A mathematical condition for a sublattice of a propositional system to represent a physical subsystem, with a physical interpretation, Letters in Mathematical Physics, vol. 3 no. 1 (January, 1979), pp. 19-27, Springer Nature, ISSN 0377-9017 [doi]  [abs]
  10. Boyer, DM; Puente, J; Gladman, JT; Glynn, C; Mukherjee, S; Yapuncich, GS; Daubechies, I, A new fully automated approach for aligning and comparing shapes., Anat Rec (Hoboken), vol. 298 no. 1 (January, 2015), pp. 249-276, ISSN 1932-8486 [doi]  [abs]
  11. Cohen, A; Daubechies, I, A new technique to estimate the regularity of refinable functions, Revista Matematica Iberoamericana, vol. 12 no. 2 (January, 1996), pp. 527-591, European Mathematical Publishing House [doi]  [abs]
  12. Daubechies, I; Maes, S, A nonlinear squeezing of the continuous wavelet transform based on auditory nerve models, in Wavelets in Medicine and Biology (November, 2017), pp. 527-546, ISBN 9780849394836
  13. Daubechies, I; Runborg, O; Zou, J, A sparse spectral method for homogenization multiscale problems, Multiscale Modeling and Simulation, vol. 6 no. 3 (August, 2007), pp. 711-740, Society for Industrial & Applied Mathematics (SIAM), ISSN 1540-3459 [doi]  [abs]
  14. Cohen, A; Daubechies, I, A stability criterion for biorthogonal wavelet bases and their related subband coding scheme, Duke Mathematical Journal, vol. 68 no. 2 (January, 1992), pp. 313-335, Duke University Press, ISSN 0012-7094 [doi]
  15. Yin, R; Gao, T; Lu, YM; Daubechies, I, A tale of two bases: Local-nonlocal regularization on image patches with convolution framelets, SIAM Journal on Imaging Sciences, vol. 10 no. 2 (January, 2017), pp. 711-750, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]
  16. Daubechies, I; DeVore, RA; Güntürk, CS; Vaishampayan, VA, A/D conversion with imperfect quantizers, IEEE Transactions on Information Theory, vol. 52 no. 3 (March, 2006), pp. 874-885, Institute of Electrical and Electronics Engineers (IEEE), ISSN 0018-9448 [doi]  [abs]
  17. Daubechies, I; Fornasier, M; Loris, I, Accelerated projected gradient method for linear inverse problems with sparsity constraints, Journal of Fourier Analysis and Applications, vol. 14 no. 5-6 (December, 2008), pp. 764-792, Springer Nature, ISSN 1069-5869 [doi]  [abs]
  18. Huang, NE; Daubechies, I; Hou, TY, Adaptive data analysis: theory and applications., Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, vol. 374 no. 2065 (April, 2016), pp. 20150207, ISSN 1364-503X [doi]
  19. Daubechies, I; Planchon, F, Adaptive Gabor transforms, Applied and Computational Harmonic Analysis, vol. 13 no. 1 (July, 2002), pp. 1-21, Elsevier BV [doi]  [abs]
  20. Boyer, D; Lipman, Y; Clair, ES; Puente, J; Funkhouser, T; Patel, B; Jernvall, J; Daubechies, I, Algorithms to automatically quantify the geometric similarity of anatomical surfaces, Proceedings of the National Academy of Sciences, vol. 108 no. 45 (November, 2011), pp. 18221-18226, ISSN 1091-6490 [arXiv:1110.3649 [math.NA]], [22025685], [doi]  [abs]
  21. Daubechies, I, An application of hyperdifferential operators to holomorphic quantization, Letters in Mathematical Physics, vol. 2 no. 6 (November, 1978), pp. 459-469, Springer Nature America, Inc, ISSN 0377-9017 [doi]  [abs]
  22. Daubechies, I; Grossmann, A, An integral transform related to quantization, Journal of Mathematical Physics, vol. 21 no. 8 (January, 1979), pp. 2080-2090, AIP Publishing, ISSN 0022-2488 [doi]  [abs]
  23. Daubechies, I; Grossmann, A; Reignier, J, An integral transform related to quantization. II. Some mathematical properties, Journal of Mathematical Physics, vol. 24 no. 2 (January, 1982), pp. 239-254, AIP Publishing, ISSN 0022-2488 [doi]  [abs]
  24. Daubechies, I; Defrise, M; De Mol, C, An iterative thresholding algorithm for linear inverse problems with a sparsity constraint, Communications on Pure and Applied Mathematics, vol. 57 no. 11 (November, 2004), pp. 1413-1457, WILEY [doi]  [abs]
  25. Voronin, S; Daubechies, I, An iteratively reweighted least squares algorithm for sparse regularization, in Contemporary Mathematics, vol. 693 (January, 2017), pp. 391-411, American Mathematical Society, ISBN 9781470428365 [doi]  [abs]
  26. Daubechies, I, An uncertainty principle for fermions with generalized kinetic energy, Communications in Mathematical Physics, vol. 90 no. 4 (December, 1983), pp. 511-520, Springer Nature, ISSN 0010-3616 [doi]  [abs]
  27. Rudin, C; Schapire, RE; Daubechies, I, Analysis of boosting algorithms using the smooth margin function, Annals of Statistics, vol. 35 no. 6 (December, 2007), pp. 2723-2768, Institute of Mathematical Statistics, ISSN 0090-5364 [doi]  [abs]
  28. Daubechies, I; Devore, R, Approximating a bandlimited function using very coarsely quantized data: A family of stable sigma-delta modulators of arbitrary order, Annals of Mathematics, vol. 158 no. 2 (January, 2003), pp. 679-710, Annals of Mathematics, Princeton U, ISSN 0003-486X [doi]
  29. Shan, S; Kovalsky, SZ; Winchester, JM; Boyer, DM; Daubechies, I, ariaDNE: A robustly implemented algorithm for Dirichlet energy of the normal, Methods in Ecology and Evolution, vol. 10 no. 4 (April, 2019), pp. 541-552 [doi]  [abs]
  30. Sabetsarvestani, Z; Sober, B; Higgitt, C; Daubechies, I; Rodrigues, MRD, Artificial intelligence for art investigation: Meeting the challenge of separating x-ray images of the Ghent Altarpiece., Science advances, vol. 5 no. 8 (August, 2019), pp. eaaw7416 [doi]  [abs]
  31. Puente, J; Boyer, DM; Gladman, JT; Daubechies, IC, Automated approaches to geometric morphometrics., AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY, vol. 150 (January, 2013), pp. 226-226, WILEY-BLACKWELL
  32. Wang, YG; Wu, H-T; Daubechies, I; Li, Y; Estes, EH; Soliman, EZ, Automated J wave detection from digital 12-lead electrocardiogram., Journal of electrocardiology, vol. 48 no. 1 (January, 2015), pp. 21-28, ISSN 0022-0736 [doi]  [abs]
  33. Cornelis, B; Yang, Y; Vogelstein, JT; Dooms, A; Daubechies, I; Dunson, D, Bayesian crack detection in ultra high resolution multimodal images of paintings, 2013 18th International Conference on Digital Signal Processing, DSP 2013 (December, 2013) [1304.5894v2], [doi]  [abs]
  34. Daubechies, I; DeVore, R; Güntürk, CS; Vaishampayan, VA, Beta expansions: A new approach to digitally corrected A/D conversion, Proceedings - IEEE International Symposium on Circuits and Systems, vol. 2 (January, 2002), pp. 784-787, IEEE [doi]  [abs]
  35. Cohen, A; Daubechies, I; Feauveau, J, Biorthogonal bases of compactly supported wavelets, Communications on Pure and Applied Mathematics, vol. 45 no. 5 (January, 1992), pp. 485-560, WILEY [doi]  [abs]
  36. Rudin, C; Schapire, RE; Daubechies, I, Boosting based on a smooth margin, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), vol. 3120 (January, 2004), pp. 502-517, Springer Berlin Heidelberg, ISSN 0302-9743 [doi]  [abs]
  37. Cohen, A; Daubechies, I; DeVore, R; Kerkyacharian, G; Picard, D, Capturing Ridge Functions in High Dimensions from Point Queries, Constructive Approximation, vol. 35 no. 2 (April, 2012), pp. 225-243, Springer Nature, ISSN 0176-4276 [doi]  [abs]
  38. Daubechies, I; Guskov, I; Sweldens, W, Commutation for irregular subdivision, Constructive Approximation, vol. 17 no. 4 (December, 2001), pp. 479-513, Springer Nature [doi]  [abs]
  39. Bunn, JM; Boyer, DM; Lipman, Y; St Clair, EM; Jernvall, J; Daubechies, I, Comparing Dirichlet normal surface energy of tooth crowns, a new technique of molar shape quantification for dietary inference, with previous methods in isolation and in combination., American journal of physical anthropology, vol. 145 no. 2 (June, 2011), pp. 247-261 [21469070], [doi]  [abs]
  40. Daubechies, I; Wang, YG; Wu, H-T, ConceFT: concentration of frequency and time via a multitapered synchrosqueezed transform., Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, vol. 374 no. 2065 (April, 2016), pp. 20150193, ISSN 1364-503X [doi]  [abs]
  41. Lipman, Y; Puente, J; Daubechies, I, Conformal Wasserstein distance: II. Computational aspects and extensions, Mathematics of Computation, vol. 82 no. 281 (January, 2013), pp. 331-381, American Mathematical Society (AMS) [arXiv:1103.4681v2 [math.NA]], [1103.4681v2], [doi]  [abs]
  42. Lipman, Y; Daubechies, I, Conformal Wasserstein distances: Comparing surfaces in polynomial time, Advances in Mathematics, vol. 227 no. 3 (June, 2011), pp. 1047-1077, Elsevier BV, ISSN 0001-8708 [arXiv:1103.4408v1 [math.DG]], [doi]  [abs]
  43. Daubechies, I; Klauder, JR, Constructing measures for path integrals, Journal of Mathematical Physics, vol. 23 no. 10 (January, 1981), pp. 1806-1822, AIP Publishing, ISSN 0022-2488 [doi]  [abs]
  44. Daubechies, I, Continuity statements and counterintuitive examples in connection with Weyl quantization, Journal of Mathematical Physics, vol. 24 no. 6 (January, 1982), pp. 1453-1461, AIP Publishing, ISSN 0022-2488 [doi]  [abs]
  45. Cornelis, B; Ružić, T; Gezels, E; Dooms, A; Pižurica, A; Platiša, L; Cornelis, J; Martens, M; De Mey, M; Daubechies, I, Crack detection and inpainting for virtual restoration of paintings: The case of the Ghent Altarpiece, Signal Processing, vol. 93 no. 3 (March, 2013), pp. 605-619, Elsevier BV, ISSN 0165-1684 [S0165168412002526], [doi]  [abs]
  46. Fodor, G; Cornelis, B; Yin, R; Dooms, A; Daubechies, I, Cradle removal in X-ray images of panel paintings, Image Processing On Line, vol. 7 (January, 2017), pp. 23-42, Image Processing On Line [doi]  [abs]
  47. Donoho, DL; Vetterli, M; Devore, RA; Daubechies, I, Data compression and harmonic analysis, IEEE Transactions on Information Theory, vol. 44 no. 6 (December, 1998), pp. 2435-2476, Institute of Electrical and Electronics Engineers (IEEE), ISSN 0018-9448 [doi]  [abs]
  48. Polatkan, G; Jafarpour, S; Brasoveanu, A; Hughes, S; Daubechies, I, Detection of forgery in paintings using supervised learning, Proceedings - International Conference on Image Processing, ICIP (January, 2009), pp. 2921-2924, IEEE, ISSN 1522-4880 [doi]  [abs]
  49. I. Daubechies, Developing Mathematical Tools to Investigate Art, in Bridges 2012 Proceedings, edited by Robert Bosch, Douglas McKenna, and Reza Sarhangi (2012), Jacobs Publishing, http://www.mathartfun.com  [abs]
  50. Gao, T; Yapuncich, GS; Daubechies, I; Mukherjee, S; Boyer, DM, Development and Assessment of Fully Automated and Globally Transitive Geometric Morphometric Methods, With Application to a Biological Comparative Dataset With High Interspecific Variation., Anat Rec (Hoboken), vol. 301 no. 4 (April, 2018), pp. 636-658 [doi]  [abs]
  51. Chassande-Mottin, E; Daubechies, I; Auger, F; Flandrin, P, Differential reassignment, IEEE Signal Processing Letters, vol. 4 no. 10 (December, 1997), pp. 293-294, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1070-9908 [doi]  [abs]
  52. Shan, S; Daubechies, I, Diffusion Maps: Using the Semigroup Property for Parameter Tuning, in Applied and Numerical Harmonic Analysis, vol. Part F6 (January, 2023), pp. 409-424 [doi]  [abs]
  53. Yin, R; Dunson, D; Cornelis, B; Brown, B; Ocon, N; Daubechies, I, Digital cradle removal in X-ray images of art paintings, 2014 IEEE International Conference on Image Processing, ICIP 2014 (January, 2014), pp. 4299-4303, IEEE, ISBN 9781479957514 [doi]  [abs]
  54. A. Pizurica, L. Platisa, T. Ruzic, B. Cornelis, A. Dooms, M. Martens, H. Dubois, B. Devolder, M. De Mey, I. Daubechies, Digital Image Processing of The Ghent Altarpiece: Supporting the painting's study and conservation treatment, IEEE Signal Processing Magazine, vol. 32 (2015), pp. 112-122, IEEE
  55. Pizurica, A; Platisa, L; Ruzic, T; Cornelis, B; Dooms, A; Martens, M; Dubois, H; Devolder, B; De Mey, M; Daubechies, I, Digital image processing of the ghent altarpiece: Supporting the painting's study and conservation treatment, IEEE Signal Processing Magazine, vol. 32 no. 4 (July, 2015), pp. 112-122, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1053-5888 [doi]  [abs]
  56. Yin, R; Daubechies, I, Directional Wavelet Bases Constructions with Dyadic Quincunx Subsampling, Journal of Fourier Analysis and Applications, vol. 24 no. 3 (June, 2018), pp. 872-907, Springer Nature [doi]  [abs]
  57. O'Neal, WT; Wang, YG; Wu, H-T; Zhang, Z-M; Li, Y; Tereshchenko, LG; Estes, EH; Daubechies, I; Soliman, EZ, Electrocardiographic J Wave and Cardiovascular Outcomes in the General Population (from the Atherosclerosis Risk In Communities Study)., The American journal of cardiology, vol. 118 no. 6 (September, 2016), pp. 811-815 [doi]  [abs]
  58. Wu, H-T; Hseu, S-S; Bien, M-Y; Kou, YR; Daubechies, I, Evaluating physiological dynamics via synchrosqueezing: prediction of ventilator weaning., IEEE transactions on bio-medical engineering, vol. 61 no. 3 (March, 2014), pp. 736-744, ISSN 0018-9294 [doi]  [abs]
  59. Dahlke, S; Daubechies, I; Elad, M; Kutyniok, G; Teschke, G, Executive Summary of Dagstuhl Seminar on Structured Decompositions and Efficient Algorithms (08492), Dagstuhl Seminar Proceedings, vol. 8492 (January, 2009)  [abs]
  60. Dym, N; Sober, B; Daubechies, I, Expression of fractals through neural network functions, IEEE Journal on Selected Areas in Information Theory, vol. 1 no. 1 (May, 2020), pp. 57-66 [doi]  [abs]
  61. Daubechies, I; Sweldens, W, Factoring Wavelet Transforms into Lifting Steps, Journal of Fourier Analysis and Applications, vol. 4 no. 3 (January, 1998), pp. x1-268 [doi]  [abs]
  62. Brown, K; Cartmill, M, Foreword, in The Scientific Bases of Human Anatomy by C.O. Oxnard, vol. 9781400827268 (January, 2009), pp. xv-xvi, Wiley-Blackwell, ISBN 0691114536 [doi]
  63. Daubechies, I; Han, B; Ron, A; Shen, Z, Framelets: MRA-based constructions of wavelet frames, Applied and Computational Harmonic Analysis, vol. 14 no. 1 (January, 2003), pp. 1-46, Elsevier BV [doi]  [abs]
  64. Daubechies, I; Grossmann, A, Frames in the bargmann space of entire functions, Communications on Pure and Applied Mathematics, vol. 41 no. 2 (January, 1988), pp. 151-164, WILEY [doi]  [abs]
  65. Daubechies, I, From the Original Framer to Present-Day Time-Freuency and Time-Scale Frames, Journal of Fourier Analysis and Applications, vol. 3 no. 5 (December, 1997), pp. x1-486
  66. Daubechies, I; Landau, HJ; Landau, Z, Gabor Time-Frequency Lattices and the Wexler-Raz Identity, Journal of Fourier Analysis and Applications, vol. 1 no. 4 (January, 1994), pp. 437-478, Springer Nature, ISSN 1069-5869 [doi]  [abs]
  67. Charléty, J; Voronin, S; Nolet, G; Loris, I; Simons, FJ; Sigloch, K; Daubechies, IC, Global seismic tomography with sparsity constraints: Comparison with smoothing and damping regularization, Journal of Geophysical Research: Planets, vol. 118 no. 9 (September, 2013), pp. 4887-4899, American Geophysical Union (AGU), ISSN 0148-0227 [doi]  [abs]
  68. Balmaceda, JM; Clemens, CH; Daubechies, I; Pineda, AR; Rusu, G; Waldschmidt, M, Graduate Assistantships in Developing Countries (GRAID) Supporting Mathematics Graduate Students in the Countries that Need it Most, Notices of the American Mathematical Society, vol. 70 no. 8 (September, 2023), pp. 1281-1284 [doi]
  69. Cohen, A; Dahmen, W; Daubechies, I; DeVore, R, Harmonic analysis of the space BV, Revista Matematica Iberoamericana, vol. 19 no. 1 (January, 2003), pp. 235-263, European Mathematical Publishing House [doi]  [abs]
  70. Kobiler, O; Lipman, Y; Therkelsen, K; Daubechies, I; Enquist, LW, Herpesviruses carrying a Brainbow cassette reveal replication and expression of limited numbers of incoming genomes., Nature communications, vol. 1 (January, 2010), pp. 146 [21266996], [doi]  [abs]
  71. Daubechies, I; Huang, Y, How does truncation of the mask affect a refinable function?, Constructive Approximation, vol. 11 no. 3 (September, 1995), pp. 365-380, Springer Nature, ISSN 0176-4276 [doi]  [abs]
  72. Cohen, A; Daubechies, I; Ron, A, How smooth is the smoothest function in a given refinable space?, Applied and Computational Harmonic Analysis, vol. 3 no. 1 (January, 1996), pp. 87-89, Elsevier BV [doi]
  73. Antonini, M; Barlaud, M; Mathieu, P; Daubechies, I, Image coding using vector quantization in the wavelet transform domain, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 4 (December, 1990), pp. 2297-2300, IEEE [doi]  [abs]
  74. Antonini, M; Barlaud, M; Mathieu, P; Daubechies, I, Image coding using wavelet transform., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 1 no. 2 (January, 1992), pp. 205-220, ISSN 1057-7149 [18296155], [doi]  [abs]
  75. Johnson, CR; Hendriks, E; Berezhnoy, IJ; Brevdo, E; Hughes, SM; Daubechies, I; Li, J; Postma, E; Wang, JZ, Image processing for artist identification: Computerized analysis of Vincent van Gogh's painting brushstrokes, IEEE Signal Processing Magazine, vol. 25 no. 4 (January, 2008), pp. 37-48, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1053-5888 [doi]  [abs]
  76. Pu, W; Sober, B; Daly, N; Zhou, C; Sabetsarvestani, Z; Higgitt, C; Daubechies, I; Rodrigues, MRD, Image Separation With Side Information: A Connected Auto-Encoders Based Approach., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 32 (January, 2023), pp. 2931-2946 [doi]  [abs]
  77. Daubechies, I; Roussos, E; Takerkart, S; Benharrosh, M; Golden, C; D'Ardenne, K; Richter, W; Cohen, JD; Haxby, J, Independent component analysis for brain fMRI does not select for independence., Proceedings of the National Academy of Sciences of the United States of America, vol. 106 no. 26 (June, 2009), pp. 10415-10422 [19556548], [doi]  [abs]
  78. Fulwood, EL; Shan, S; Winchester, JM; Kirveslahti, H; Ravier, R; Kovalsky, S; Daubechies, I; Boyer, DM, Insights from macroevolutionary modelling and ancestral state reconstruction into the radiation and historical dietary ecology of Lemuriformes (Primates, Mammalia)., BMC ecology and evolution, vol. 21 no. 1 (April, 2021), pp. 60 [doi]  [abs]
  79. Cvetković, Z; Daubechies, I; Logan, BF, Interpolation of bandlimited functions from quantized irregular samples, Data Compression Conference Proceedings, vol. 2002-January (January, 2002), pp. 412-421, IEEE Comput. Soc, ISBN 0769514774 [doi]  [abs]
  80. Daubechies, I; DeVore, R; Fornasier, M; Güntürk, S, Iteratively Re-weighted Least Squares minimization: Proof of faster than linear rate for sparse recovery, CISS 2008, The 42nd Annual Conference on Information Sciences and Systems (September, 2008), pp. 26-29, IEEE [doi]  [abs]
  81. Daubechies, I; Devore, R; Fornasier, M; Güntürk, CS, Iteratively reweighted least squares minimization for sparse recovery, Communications on Pure and Applied Mathematics, vol. 63 no. 1 (January, 2010), pp. 1-38, WILEY, ISSN 0010-3640 [doi]  [abs]
  82. Daubechies, I; Teschke, G; Vese, L, Iteratively solving linear inverse problems under general convex constraints, Inverse Problems and Imaging, vol. 1 no. 1 (January, 2007), pp. 29-46, American Institute of Mathematical Sciences (AIMS) [doi]  [abs]
  83. Zhu, W; Qiu, Q; Huang, J; Calderbank, R; Sapiro, G; Daubechies, I, LDMNet: Low Dimensional Manifold Regularized Neural Networks, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (December, 2018), pp. 2743-2751 [doi]  [abs]
  84. Calderbank, AR; Daubechies, I; Sweldens, W; Yeo, BL, Lossless image compression using integer to integer wavelet transforms, IEEE International Conference on Image Processing, vol. 1 (December, 1997), pp. 596-599, IEEE Comput. Soc [doi]  [abs]
  85. Daubechies, I; Klauder, JR, Measures for more quadratic path integrals, Letters in Mathematical Physics, vol. 7 no. 3 (May, 1983), pp. 229-234, Springer Nature America, Inc, ISSN 0377-9017 [doi]  [abs]
  86. Klauder, JR; Daubechies, I, Measures for path integrals, Physical Review Letters, vol. 48 no. 3 (January, 1982), pp. 117-120, ISSN 0031-9007 [doi]  [abs]
  87. Pu, W; Huang, J-J; Sober, B; Daly, N; Higgitt, C; Daubechies, I; Dragotti, PL; Rodrigues, MRD, Mixed X-Ray Image Separation for Artworks With Concealed Designs., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 31 (January, 2022), pp. 4458-4473 [doi]  [abs]
  88. Deligiannis, N; Mota, JFC; Cornelis, B; Rodrigues, MRD; Daubechies, I, Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation., IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 26 no. 2 (February, 2017), pp. 751-764 [doi]  [abs]
  89. Daubechies, I; Devore, R; Dym, N; Faigenbaum-Golovin, S; Kovalsky, SZ; Lin, KC; Park, J; Petrova, G; Sober, B, Neural Network Approximation of Refinable Functions, IEEE Transactions on Information Theory, vol. 69 no. 1 (January, 2023), pp. 482-495 [doi]  [abs]
  90. Daubechies, I; DeVore, R; Foucart, S; Hanin, B; Petrova, G, Nonlinear Approximation and (Deep) ReLU Networks, Constructive Approximation, vol. 55 no. 1 (February, 2022), pp. 127-172 [doi]  [abs]
  91. Loris, I; Douma, H; Nolet, G; Daubechies, I; Regone, C, Nonlinear regularization techniques for seismic tomography, Journal of Computational Physics, vol. 229 no. 3 (February, 2010), pp. 890-905, Elsevier BV, ISSN 0021-9991 [doi]  [abs]
  92. Daubechies, I; Runborg, O; Sweldens, W, Normal multiresolution approximation of curves, Constructive Approximation, vol. 20 no. 3 (January, 2004), pp. 399-463, Springer Nature [doi]  [abs]
  93. Yin, R; Monson, E; Honig, E; Daubechies, I; Maggioni, M, Object recognition in art drawings: Transfer of a neural network, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2016-May (May, 2016), pp. 2299-2303, IEEE, ISSN 1520-6149, ISBN 9781479999880 [doi]  [abs]
  94. Daubechies, I; Teschke, G; Vese, L, On some iterative concepts for image restoration, Advances in Imaging and Electron Physics, vol. 150 (January, 2008), pp. 1-51, Elsevier, ISSN 1076-5670 [doi]  [abs]
  95. Unser, M; Daubechies, I, On the approximation power of convolution-based least squares versus interpolation, IEEE Transactions on Signal Processing, vol. 45 no. 7 (December, 1997), pp. 1697-1711, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1053-587X [doi]  [abs]
  96. Daubechies, I, On the distributions corresponding to bounded operators in the Weyl quantization, Communications in Mathematical Physics, vol. 75 no. 3 (October, 1980), pp. 229-238, Springer Nature, ISSN 0010-3616 [doi]  [abs]
  97. Rudin, C; Daubechies, I; Schapire, RE, On the dynamics of boosting, edited by Thrun, S; Saul, LK; Schölkopf, B, Advances in Neural Information Processing Systems (January, 2004), pp. 1101-1108, M I T PRESS, ISBN 9780262201520 [advances-in-neural-information-processing-systems-16-2003]  [abs]
  98. Cohen, A; Daubechies, I; Guleryuz, OG; Orchard, MT, On the importance of combining wavelet-based nonlinear approximation with coding strategies, IEEE Transactions on Information Theory, vol. 48 no. 7 (July, 2002), pp. 1895-1921, Institute of Electrical and Electronics Engineers (IEEE), ISSN 0018-9448 [doi]  [abs]
  99. Daubechies, I, One electron molecules with relativistic kinetic energy: Properties of the discrete spectrum, Communications in Mathematical Physics, vol. 94 no. 4 (December, 1984), pp. 523-535, Springer Nature, ISSN 0010-3616 [doi]  [abs]
  100. Wu, HT; Flandrin, P; Daubechies, I, One or two frequencies? the synchrosqueezing answers, Advances in Adaptive Data Analysis, vol. 3 no. 1-2 (April, 2011), pp. 29-39, World Scientific Pub Co Pte Lt, ISSN 1793-5369 [doi]  [abs]
  101. Daubechies, I; Lieb, EH, One-electron relativistic molecules with Coulomb interaction, Communications in Mathematical Physics, vol. 90 no. 4 (December, 1983), pp. 497-510, Springer Nature, ISSN 0010-3616 [doi]  [abs]
  102. Daubechies, I; Lieb, EH, One-electron relativistic molecules with coulomb interaction (January, 2005), pp. 471-484, Springer Verlag [doi]  [abs]
  103. Wu, H-T; Lewis, GF; Davila, MI; Daubechies, I; Porges, SW, Optimizing Estimates of Instantaneous Heart Rate from Pulse Wave Signals with the Synchrosqueezing Transform., Methods of information in medicine, vol. 55 no. 5 (October, 2016), pp. 463-472 [doi]  [abs]
  104. Daubechies, I, Orthonormal bases of compactly supported wavelets, Communications on Pure and Applied Mathematics, vol. 41 no. 7 (January, 1988), pp. 909-996, WILEY [doi]  [abs]
  105. Daubechies, I; Grossmann, A; Meyer, Y, Painless nonorthogonal expansions, Journal of Mathematical Physics, vol. 27 no. 5 (January, 1986), pp. 1271-1283, AIP Publishing, ISSN 0022-2488 [doi]  [abs]
  106. Daubechies, I; Grossmann, A; Meyer, Y, Painless nonorthogonal expansions (January, 2009), pp. 372-384  [abs]
  107. Wu, T; Polatkan, G; Steel, D; Brown, W; Daubechies, I; Calderbank, R, Painting analysis using wavelets and probabilistic topic models, 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings (January, 2013), pp. 3264-3268, IEEE [doi]  [abs]
  108. Daubechies, I; Han, B, Pairs of dual wavelet frames from any two refinable functions, Constructive Approximation, vol. 20 no. 3 (January, 2004), pp. 325-352, Springer Nature [doi]  [abs]
  109. Xu, J; Li, Y; Yang, H; Dunson, D; Daubechies, I, PiPs: A kernel-based optimization scheme for analyzing non-stationary 1D signals, Applied and Computational Harmonic Analysis, vol. 66 (September, 2023), pp. 1-17 [doi]  [abs]
  110. Daubechies, I, Preface, Wavelet Analysis and Its Applications, vol. 9 no. C (December, 1998), pp. 5, ISSN 1874-608X [doi]
  111. Yang, H; Lu, J; Brown, WP; Daubechies, I; Ying, L, Quantitative Canvas Weave Analysis Using 2-D Synchrosqueezed Transforms: Application of time-frequency analysis to art investigation, Signal Processing Magazine, IEEE, vol. 32 no. 4 (July, 2015), pp. 55-63, Institute of Electrical and Electronics Engineers (IEEE), ISSN 1053-5888 [repository], [doi]  [abs]
  112. Klauder, JR; Daubechies, I, Quantum Mechanical Path Integrals with Wiener Measures for all Polynomial Hamiltonians, Physical Review Letters, vol. 52 no. 14 (January, 1984), pp. 1161-1164, American Physical Society (APS), ISSN 0031-9007 [doi]  [abs]
  113. Daubechies, I; Klauder, JR, Quantum-mechanical path integrals with Wiener measure for all polynomial Hamiltonians. II, Journal of Mathematical Physics, vol. 26 no. 9 (January, 1985), pp. 2239-2256, AIP Publishing, ISSN 0022-2488 [doi]  [abs]
  114. Daubechies, I, Recent results in wavelet applications, Journal of Electronic Imaging, vol. 7 no. 4 (January, 1998), pp. 719-724, SPIE-Intl Soc Optical Eng, ISSN 1017-9909 [doi]  [abs]
  115. Daubechies, I, Recent results in wavelet applications, Proceedings of SPIE - The International Society for Optical Engineering, vol. 3391 (March, 1998), pp. 2-9 [doi]  [abs]
  116. Fulwood, EL; Shan, S; Winchester, JM; Gao, T; Kirveslahti, H; Daubechies, I; Boyer, DM, Reconstructing dietary ecology of extinct strepsirrhines (Primates, Mammalia) with new approaches for characterizing and analyzing tooth shape, Paleobiology, vol. 47 no. 4 (November, 2021), pp. 612-631 [doi]  [abs]
  117. Alaifari, R; Daubechies, I; Grohs, P; Thakur, G, Reconstructing Real-Valued Functions from Unsigned Coefficients with Respect to Wavelet and Other Frames, Journal of Fourier Analysis and Applications, vol. 23 no. 6 (December, 2017), pp. 1480-1494 [doi]  [abs]
  118. Pierpaoli, E; Anthoine, S; Huffenberger, K; Daubechies, I, Reconstructing Sunyaev-Zel'dovich clusters in future cosmic microwave background experiments, Monthly Notices of the Royal Astronomical Society, vol. 359 no. 1 (May, 2005), pp. 261-271, Oxford University Press (OUP) [doi]  [abs]
  119. Xu, JX; Yang, HY; Daubechies, ID, Recursive Diffeomorphism-Based Regression for Shape Functions, vol. 50 no. 1 (January, 2018), pp. 5-32, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]
  120. Daubechies, I; Guskov, I; Sweldens, W, Regularity of irregular subdivision, Constructive Approximation, vol. 15 no. 3 (January, 1999), pp. 381-426 [doi]  [abs]
  121. Cohen, A; Daubechies, I; Plonka, G, Regularity of Refinable Function Vectors, Journal of Fourier Analysis and Applications, vol. 3 no. 3 (January, 1997), pp. x4-323 [doi]  [abs]
  122. Daubechies, I; Lieb, EH, Relativistic Molecules with Coulomb Interaction, North-Holland Mathematics Studies, vol. 92 no. C (January, 1984), pp. 143-148, Elsevier, ISSN 0304-0208 [doi]  [abs]
  123. Cornelis, B; Yang, H; Goodfriend, A; Ocon, N; Lu, J; Daubechies, I, Removal of Canvas Patterns in Digital Acquisitions of Paintings, IEEE Transactions on Image Processing, vol. 26 no. 1 (January, 2017), pp. 160-171, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]
  124. Yin, R; Cornelis, B; Fodor, G; Ocon, N; Dunson, D; Daubechies, I, Removing cradle artifacts in X-ray images of paintings, SIAM Journal on Imaging Sciences, vol. 9 no. 3 (August, 2016), pp. 1247-1272, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]
  125. Daubechies, I; Lazarsfeld, R; Morgan, J; Okounkov, A; Tao, T, Reply to Davey, Henriksen, Marković and Pratt [4], Notices of the American Mathematical Society, vol. 54 no. 6 (June, 2007), pp. 694, ISSN 0002-9920
  126. B. Cornelis, A. Dooms, I. Daubechies and P. Schelkens, Report on Digital Image Processing for Art Historians, Sampling Theory and Applications, SampTA '09, Marseille France, May 18-22, 2009 (2011)
  127. Anitha, A; Brasoveanu, A; Duarte, M; Hughes, S; Daubechies, I; Dik, J; Janssens, K; Alfeld, M, Restoration of X-ray fluorescence images of hidden paintings, Signal Processing, vol. 93 no. 3 (March, 2013), pp. 592-604, Elsevier BV, ISSN 0165-1684 [doi]  [abs]
  128. Daubechies, I; Yilmaz, O, Robust and practical analog-to-digital conversion with exponential precision, IEEE Transactions on Information Theory, vol. 52 no. 8 (August, 2006), pp. 3533-3545, Institute of Electrical and Electronics Engineers (IEEE), ISSN 0018-9448 [doi]  [abs]
  129. Fornasier, M; Vybíral, J; Daubechies, I, Robust and resource efficient identification of shallow neural networks by fewest samples, Information and Inference, vol. 10 no. 2 (June, 2021), pp. 625-695 [doi]  [abs]
  130. Daubechies, I; Lagarias, JC, Sets of matrices all infinite products of which converge, Linear Algebra and Its Applications, vol. 161 no. C (January, 1992), pp. 227-263, ISSN 0024-3795 [doi]  [abs]
  131. Hughes, SM; Daubechies, I, Simpler alternatives to information theoretic similarity metrics for multimodal image alignment, Proceedings - International Conference on Image Processing, ICIP (December, 2006), pp. 365-368, IEEE, ISSN 1522-4880 [doi]  [abs]
  132. Cvetkovic, Z; Daubechies, I; Logan, BF, Single-bit oversampled A/D conversion with exponential accuracy in the bit rate, IEEE Transactions on Information Theory, vol. 53 no. 11 (November, 2007), pp. 3979-3989, ISSN 0018-9448 [doi]  [abs]
  133. Cvetkovic, Z; Daubechies, I, Single-bit oversampled A/D conversion with exponential accuracy in the bit-rate, Data Compression Conference Proceedings (January, 2000), pp. 343-352, IEEE Comput. Soc, ISSN 1068-0314 [doi]  [abs]
  134. Simons, FJ; Loris, I; Nolet, G; Daubechies, IC; Voronin, S; Judd, JS; Vetter, PA; Charléty, J; Vonesch, C, Solving or resolving global tomographic models with spherical wavelets, and the scale and sparsity of seismic heterogeneity, Geophysical Journal International, vol. 187 no. 2 (November, 2011), pp. 969-988, ISSN 0956-540X (doi: 10.1111/j.1365-246X.2011.05190.x.) [doi]  [abs]
  135. Brodie, J; Daubechies, I; De Mol, C; Giannone, D; Loris, I, Sparse and stable Markowitz portfolios., Proceedings of the National Academy of Sciences of the United States of America, vol. 106 no. 30 (July, 2009), pp. 12267-12272 [19617537], [doi]  [abs]
  136. Daubechies, I; Defrise, M; De Mol, C, Sparsity-enforcing regularisation and ISTA revisited, Inverse Problems, vol. 32 no. 10 (August, 2016), pp. 104001-104001, IOP Publishing [doi]  [abs]
  137. Platiša, L; Cornells, B; Ružić, T; Pižurica, A; Dooms, A; Martens, M; De Mey, M; Daubechies, I, Spatiogram features to characterize pearls in paintings, Proceedings - International Conference on Image Processing, ICIP (December, 2011), pp. 801-804, IEEE, ISSN 1522-4880 [doi]  [abs]
  138. Cheng, C; Daubechies, I; Dym, N; Lu, J, Stable phase retrieval from locally stable and conditionally connected measurements, Applied and Computational Harmonic Analysis, vol. 55 (November, 2021), pp. 440-465 [doi]  [abs]
  139. Alaifari, R; Daubechies, I; Grohs, P; Yin, R, Stable Phase Retrieval in Infinite Dimensions, Foundations of Computational Mathematics, vol. 19 no. 4 (August, 2019), pp. 869-900, Springer Nature America, Inc [doi]  [abs]
  140. Jafarpour, S; Polatkan, G; Brevdo, E; Hughes, S; Brasoveanu, A; Daubechies, I, Stylistic analysis of paintings using wavelets and machine learning, European Signal Processing Conference (December, 2009), pp. 1220-1224, ISSN 2219-5491  [abs]
  141. Lipman, Y; Chen, X; Daubechies, I; Funkhouser, T, Symmetry factored embedding and distance, ACM SIGGRAPH 2010 Papers, SIGGRAPH 2010, vol. 29 no. 4 (July, 2010), pp. 1-1, Association for Computing Machinery (ACM), ISSN 0730-0301 [doi]  [abs]
  142. Daubechies, I; Lu, J; Wu, H-T, Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool, Applied and Computational Harmonic Analysis, vol. 30 no. 2 (March, 2011), pp. 243-261, Elsevier BV [0912.2437v1], [doi]  [abs]
  143. Balan, R; Daubechies, I; Vaishampayan, V, The analysis and design of windowed fourier frame based multiple description source coding schemes, IEEE Transactions on Information Theory, vol. 46 no. 7 (December, 2000), pp. 2491-2536, Institute of Electrical and Electronics Engineers (IEEE), ISSN 0018-9448 [doi]  [abs]
  144. Daubechies, I; Han, B, The canonical dual frame of a wavelet frame, Applied and Computational Harmonic Analysis, vol. 12 no. 3 (May, 2002), pp. 269-285, ISSN 1063-5203 [doi]  [abs]
  145. Lipman, Y; Al-Aifari, R; Daubechies, I, The continuous Procrustes distance between two surfaces, Communications in Pure and Applied Mathematics, vol. 66 no. 6 (2011), pp. 934-964, WILEY (accepted for publication.) [arXiv:1106.4588v2 [math.DG]], [doi]  [abs]
  146. Rudin, C; Daubechies, I; Schapire, RE, The dynamics of AdaBoost: Cyclic behavior and convergence of margins, Journal of Machine Learning Research, vol. 5 (December, 2004), pp. 1557-1595  [abs]
  147. Daubechies, I; Güntürk, CS; Wang, Y; Yilmaz, O, The golden ratio encoder, IEEE Transactions on Information Theory, vol. 56 no. 10 (October, 2010), pp. 5097-5110, Institute of Electrical and Electronics Engineers (IEEE), ISSN 0018-9448 [doi]  [abs]
  148. Calderbank, AR; Daubechies, I, The pros and cons of democracy, IEEE Transactions on Information Theory, vol. 48 no. 6 (June, 2002), pp. 1721-1725, Institute of Electrical and Electronics Engineers (IEEE), ISSN 0018-9448 [doi]  [abs]
  149. Daubechies, I, The Wavelet Transform, Time-Frequency Localization and Signal Analysis, IEEE Transactions on Information Theory, vol. 36 no. 5 (January, 1990), pp. 961-1005, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]
  150. Daubechies, I, The wavelet transform, time-frequency localization and signal analysis (January, 2009), pp. 442-486  [abs]
  151. Daubechies, I, The work of Yves Meyer, Proceedings of the International Congress of Mathematicians 2010, ICM 2010 (December, 2010), pp. 114-124  [abs]
  152. Zou, J; Gilbert, A; Strauss, M; Daubechies, I, Theoretical and experimental analysis of a randomized algorithm for Sparse Fourier transform analysis, Journal of Computational Physics, vol. 211 no. 2 (January, 2006), pp. 572-595, Elsevier BV [doi]  [abs]
  153. Daubechies, I; Paul, T, Time-frequency localisation operators-a geometric phase space approach: II. The use of dilations, Inverse Problems, vol. 4 no. 3 (December, 1988), pp. 661-680, IOP Publishing, ISSN 0266-5611 [doi]  [abs]
  154. Daubechies, I, Time-Frequency Localization Operators: A Geometric Phase Space Approach, IEEE Transactions on Information Theory, vol. 34 no. 4 (January, 1988), pp. 605-612, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]
  155. Loris, I; Nolet, G; Daubechies, I; Dahlen, FA, Tomographic inversion using ℓ1-norm regularization of wavelet coefficients, Geophysical Journal International, vol. 170 no. 1 (July, 2007), pp. 359-370, Oxford University Press (OUP), ISSN 0956-540X [doi]  [abs]
  156. Cohen, A; Dahmen, W; Daubechies, I; Devore, R, Tree Approximation and Optimal Encoding, Applied and Computational Harmonic Analysis, vol. 11 no. 2 (September, 2001), pp. 192-226, Elsevier BV [doi]  [abs]
  157. Daubechies, I, Two Recent Results on Wavelets: Wavelet Bases for the Interval, and Biorthogonal Wavelets Diagonalizing the Derivative Operator, Wavelet Analysis and Its Applications, vol. 3 no. C (January, 1994), pp. 237-257 [doi]  [abs]
  158. Daubechies, I, Two Theorems on Lattice Expansions, IEEE Transactions on Information Theory, vol. 39 no. 1 (January, 1993), pp. 3-6 [doi]  [abs]
  159. Wolff, J; Martens, M; Jafarpour, S; Daubechies, I; Calderbank, R, Uncovering elements of style, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (August, 2011), pp. 1017-1020, IEEE, ISSN 1520-6149 [doi]  [abs]
  160. Roussos, E; Roberts, S; Daubechies, I, Variational Bayesian learning for wavelet independent component analysis, AIP Conference Proceedings, vol. 803 (November, 2005), pp. 274-281, AIP, ISSN 0094-243X [doi]  [abs]
  161. Roussos, E; Roberts, S; Daubechies, I, Variational Bayesian learning of sparse representations and its application in functional neuroimaging, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7263 LNAI (November, 2012), pp. 218-225, Springer Berlin Heidelberg, ISSN 0302-9743 [doi]  [abs]
  162. Daubechies, I; Teschke, G, Variational image restoration by means of wavelets: Simultaneous decomposition, deblurring, and denoising, Applied and Computational Harmonic Analysis, vol. 19 no. 1 (July, 2005), pp. 1-16, Elsevier BV [doi]  [abs]
  163. Ružić, T; Cornelis, B; Platiša, L; Pižurica, A; Dooms, A; Philips, W; Martens, M; De Mey, M; Daubechies, I, Virtual restoration of the Ghent altarpiece using crack detection and inpainting, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6915 LNCS (September, 2011), pp. 417-428, Springer Berlin Heidelberg, ISSN 0302-9743 [doi]  [abs]
  164. Anitha, A; Brasoveanu, A; Duarte, MF; Hughes, SM; Daubechies, I; Dik, J; Janssens, K; Alfeld, M, Virtual underpainting reconstruction from X-ray fluorescence imaging data, European Signal Processing Conference (December, 2011), pp. 1239-1243, ISSN 2219-5491  [abs]
  165. Daubechies, I; Teschke, G, Wavelet based image decomposition by variational functionals, Proceedings of SPIE - The International Society for Optical Engineering, vol. 5266 (May, 2004), pp. 94-105, SPIE [doi]  [abs]
  166. Moayeri, N; Daubechies, I; Song, Q; Wang, HS, Wavelet transform image coding using trellis coded vector quantization, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 4 (January, 1992), pp. 405-408, IEEE, ISBN 0780305329 [doi]  [abs]
  167. Daubechies, I, Wavelet transform, time-frequency localization and signal analysis, vol. 25 n 13 (December, 1988), pp. 42  [abs]
  168. Calderbank, AR; Daubechies, I; Sweldens, W; Yeo, BL, Wavelet Transforms That Map Integers to Integers, Applied and Computational Harmonic Analysis, vol. 5 no. 3 (January, 1998), pp. 332-369, Elsevier BV [doi]  [abs]
  169. Dooms, A; Daubechies, I, Wavelets (April, 2011), pp. 135-154, Wiley-VCH Verlag GmbH & Co. KGaA [doi]
  170. Daubechies, I, Wavelets and applications (July, 2010), pp. 848-862
  171. Simons, FJ; Loris, I; Brevdo, E; Daubechies, IC, Wavelets and wavelet-like transforms on the sphere and their application to geophysical data inversion, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8138 (November, 2011), SPIE, ISSN 0277-786X [doi]  [abs]
  172. Daubechies, I, Wavelets at your service, in The Art And Practice Of Mathematics: Interviews At The Institute For Mathematical Sciences, National University Of Singapore, 2010-2020 (June, 2021), pp. 48-57, ISBN 9789811219580
  173. Daubechies, I; Guskov, I; Schröder, P; Sweldens, W, Wavelets on irregular point sets, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 357 no. 1760 (January, 1999), pp. 2397-2413, The Royal Society, ISSN 1364-503X [doi]  [abs]
  174. Cohen, A; Daubechies, I; Vial, P, Wavelets on the interval and fast wavelet transforms, Applied and Computational Harmonic Analysis, vol. 1 no. 1 (January, 1993), pp. 54-81, Elsevier BV [doi]  [abs]
  175. Daubechies, I, Wavelets: A tool for time-frequency analysis (December, 1989), pp. 98  [abs]
  176. Daubechies, I, Where do wavelets come from? - a personal point of view, Proceedings of the IEEE, vol. 84 no. 4 (April, 1996), pp. 510-513, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]
  177. Bourguignon, JP; Daubechies, I; Kim, MH; Park, Y, Why STEM (science, technology, engineering and mathematics)?, Proceeding of the International Congress of Mathematicans, ICM 2014, vol. 1 (January, 2014), pp. 787-797, ISBN 9788961058049
  178. Daubechies, I; Klauder, JR; Paul, T, Wiener measures for path integrals with affine kinematic variables, Journal of Mathematical Physics, vol. 28 no. 1 (January, 1987), pp. 85-102, AIP Publishing, ISSN 0022-2488 [doi]  [abs]
  179. Deligiannis, N; Mota, JFC; Cornelis, B; Rodrigues, MRD; Daubechies, I, X-ray image separation via coupled dictionary learning, Proceedings - International Conference on Image Processing, ICIP, vol. 2016-August (August, 2016), pp. 3533-3537, IEEE, ISBN 9781467399616 [doi]  [abs]
  180. Duprez, F; Crombin, M; Daubechies, I; Devries, N; Durant, V; El Khalil, M; Audag, N, [Update on manual bronchial clearance techniques (adults and adolescents)]., Revue des maladies respiratoires, vol. 41 no. 1 (January, 2024), pp. 43-50 [doi]  [abs]

 

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