Wavelet transform modulus: phase retrieval and scattering
Journées équations aux dérivées partielles (2017), Talk no. 10, 10 p.

We discuss the problem that consists in reconstructing a function from the modulus of its wavelet transform. In the case where the wavelets are Cauchy wavelets, all analytic functions are uniquely determined by this modulus. Additionally, although it is not uniformly continuous, the reconstruction operator enjoys a form of local stability. We describe these two results, and give an idea of the proof of the first one. To conclude, we present a related result on a more sophisticated operator, based on the wavelet transform modulus: the scattering transform.

Published online:
DOI: 10.5802/jedp.660
Waldspurger, Irène 1

1 CNRS & Université Paris-Dauphine INRIA Team Mokaplan CEREMADE, UMR CNRS 7534 Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16, France
@article{JEDP_2017____A10_0,
     author = {Waldspurger, Ir\`ene},
     title = {Wavelet transform modulus: phase retrieval and scattering},
     journal = {Journ\'ees \'equations aux d\'eriv\'ees partielles},
     note = {talk:10},
     pages = {1--10},
     publisher = {Groupement de recherche 2434 du CNRS},
     year = {2017},
     doi = {10.5802/jedp.660},
     language = {en},
     url = {http://www.numdam.org/articles/10.5802/jedp.660/}
}
TY  - JOUR
AU  - Waldspurger, Irène
TI  - Wavelet transform modulus: phase retrieval and scattering
JO  - Journées équations aux dérivées partielles
N1  - talk:10
PY  - 2017
SP  - 1
EP  - 10
PB  - Groupement de recherche 2434 du CNRS
UR  - http://www.numdam.org/articles/10.5802/jedp.660/
DO  - 10.5802/jedp.660
LA  - en
ID  - JEDP_2017____A10_0
ER  - 
%0 Journal Article
%A Waldspurger, Irène
%T Wavelet transform modulus: phase retrieval and scattering
%J Journées équations aux dérivées partielles
%Z talk:10
%D 2017
%P 1-10
%I Groupement de recherche 2434 du CNRS
%U http://www.numdam.org/articles/10.5802/jedp.660/
%R 10.5802/jedp.660
%G en
%F JEDP_2017____A10_0
Waldspurger, Irène. Wavelet transform modulus: phase retrieval and scattering. Journées équations aux dérivées partielles (2017), Talk no. 10, 10 p. doi : 10.5802/jedp.660. http://www.numdam.org/articles/10.5802/jedp.660/

[1] Akutowicz, E. J. On the determination of the phase of a Fourier integral, I, Transactions of the American Mathematical Society, Volume 83 (1956) no. 1, pp. 179-192

[2] Alaifari, R.; Daubechies, I.; Grohs, P.; Yin, R. Stable phase retrieval in infinite dimensions, preprint (2016) (http://arxiv.org/abs/1609.00034)

[3] Andén, J.; Mallat, S. Multiscale scattering for audio classification, Proceedings of the International Society of Music Information Retrieval 2011 Conference (2011), pp. 657-662

[4] Balan, R.; Casazza, P.; Edidin, D. On signal reconstruction without noisy phase, Applied and Computational Harmonic Analysis, Volume 20 (2006), pp. 345-356

[5] Barakat, R.; Newsam, G. Necessary conditions for a unique solution to two-dimensional phase recovery, Journal of Mathematical Physics, Volume 25 (1984) no. 11, pp. 3190-3193

[6] Grohs, P.; Rathmair, M. Stable Gabor phase retrieval and spectral clustering, preprint (2017) (https://arxiv.org/abs/1706.04374)

[7] Jaming, P. Uniqueness results in an extension of Pauli’s phase retrieval problem, Applied and Computational Harmonic Analysis, Volume 37 (2014), pp. 413-441

[8] Mallat, S. Group invariant scattering, Communications in Pure and Applied Mathematics, Volume 65 (2012) no. 10, pp. 1331-1398

[9] Mallat, S.; Waldspurger, I. Phase retrieval for the Cauchy wavelet transform, Journal of Fourier Analysis and Applications, Volume 21 (2015) no. 6, pp. 1251-1309

[10] Risset, J.-C.; Wessel, D. L. Exploration of timbre by analysis and synthesis, The psychology of music (Deutsch, D., ed.), Academic Press, 1999, pp. 113-169

[11] Sifre, L.; Mallat, S. Rotation, scaling and deformation invariant scattering for texture discrimination, The IEEE Conference on Computer Vision and Pattern Recognition (2013), pp. 1233-1240

[12] Tschannen, M.; Kramer, T.; Marti, G.; Heinzmann, M.; Wiatowski, T. Heart sound classification using deep structured features, Proceedings of computing in cardiology, IEEE (2016), pp. 565-568

[13] Waldspurger, I. Exponential decay of scattering coefficients, To appear in the Proceedings of SAMpling Theory and Applications (2017)

Cited by Sources: