Dunkl-Gabor transform and time-frequency concentration
Czechoslovak Mathematical Journal, Tome 65 (2015) no. 1, pp. 255-270

Voir la notice de l'article provenant de la source Czech Digital Mathematics Library

DOI MR   Zbl

The aim of this paper is to prove two new uncertainty principles for the Dunkl-Gabor transform. The first of these results is a new version of Heisenberg's uncertainty inequality which states that the Dunkl-Gabor transform of a nonzero function with respect to a nonzero radial window function cannot be time and frequency concentrated around zero. The second result is an analogue of Benedicks' uncertainty principle which states that the Dunkl-Gabor transform of a nonzero function with respect to a particular window function cannot be time-frequency concentrated in a subset of the form $S\times \mathcal B(0,b)$ in the time-frequency plane $\mathbb R^d\times \widehat {\mathbb R}^d$. As a side result we generalize a related result of Donoho and Stark on stable recovery of a signal which has been truncated and corrupted by noise.
The aim of this paper is to prove two new uncertainty principles for the Dunkl-Gabor transform. The first of these results is a new version of Heisenberg's uncertainty inequality which states that the Dunkl-Gabor transform of a nonzero function with respect to a nonzero radial window function cannot be time and frequency concentrated around zero. The second result is an analogue of Benedicks' uncertainty principle which states that the Dunkl-Gabor transform of a nonzero function with respect to a particular window function cannot be time-frequency concentrated in a subset of the form $S\times \mathcal B(0,b)$ in the time-frequency plane $\mathbb R^d\times \widehat {\mathbb R}^d$. As a side result we generalize a related result of Donoho and Stark on stable recovery of a signal which has been truncated and corrupted by noise.
DOI : 10.1007/s10587-015-0172-7
Classification : 42C20, 43A32, 46E22
Keywords: time-frequency concentration; Dunkl-Gabor transform; uncertainty principles
Ghobber, Saifallah. Dunkl-Gabor transform and time-frequency concentration. Czechoslovak Mathematical Journal, Tome 65 (2015) no. 1, pp. 255-270. doi: 10.1007/s10587-015-0172-7
@article{10_1007_s10587_015_0172_7,
     author = {Ghobber, Saifallah},
     title = {Dunkl-Gabor transform and time-frequency concentration},
     journal = {Czechoslovak Mathematical Journal},
     pages = {255--270},
     year = {2015},
     volume = {65},
     number = {1},
     doi = {10.1007/s10587-015-0172-7},
     mrnumber = {3336037},
     zbl = {06433733},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.1007/s10587-015-0172-7/}
}
TY  - JOUR
AU  - Ghobber, Saifallah
TI  - Dunkl-Gabor transform and time-frequency concentration
JO  - Czechoslovak Mathematical Journal
PY  - 2015
SP  - 255
EP  - 270
VL  - 65
IS  - 1
UR  - http://geodesic.mathdoc.fr/articles/10.1007/s10587-015-0172-7/
DO  - 10.1007/s10587-015-0172-7
LA  - en
ID  - 10_1007_s10587_015_0172_7
ER  - 
%0 Journal Article
%A Ghobber, Saifallah
%T Dunkl-Gabor transform and time-frequency concentration
%J Czechoslovak Mathematical Journal
%D 2015
%P 255-270
%V 65
%N 1
%U http://geodesic.mathdoc.fr/articles/10.1007/s10587-015-0172-7/
%R 10.1007/s10587-015-0172-7
%G en
%F 10_1007_s10587_015_0172_7

[1] Bonami, A., Demange, B., Jaming, P.: Hermite functions and uncertainty principles for the Fourier and the windowed Fourier transforms. Rev. Mat. Iberoam. 19 (2003), 23-55. | DOI | MR

[2] Jeu, M. F. E. de: The Dunkl transform. Invent. Math. 113 (1993), 147-162. | DOI | MR | Zbl

[3] Demange, B.: Uncertainty principles for the ambiguity function. J. Lond. Math. Soc., II. Ser. 72 (2005), 717-730. | DOI | MR | Zbl

[4] Donoho, D. L., Stark, P. B.: Uncertainty principles and signal recovery. SIAM J. Appl. Math. 49 (1989), 906-931. | DOI | MR | Zbl

[5] Dunkl, C. F.: Integral kernels with reflection group invariance. Can. J. Math. 43 (1991), 1213-1227. | DOI | MR | Zbl

[6] Dunkl, C. F.: Differential-difference operators associated to reflection groups. Trans. Am. Math. Soc. 311 (1989), 16-183. | DOI | MR | Zbl

[7] Faris, W. G.: Inequalities and uncertainty principles. J. Math. Phys. 19 (1978), 461-466. | DOI | MR

[8] Ghobber, S., Jaming, P.: Uncertainty principles for integral orperators. Stud. Math. 220 (2014), 197-220. | DOI | MR

[9] Gröchenig, K.: Uncertainty principles for time-frequency representations. Advances in Gabor Analysis H. G. Feichtinger et al. Applied and Numerical Harmonic Analysis Birkhäuser, Basel (2003), 11-30. | MR | Zbl

[10] Havin, V., Jöricke, B.: The Uncertainty Principle in Harmonic Analysis. Ergebnisse der Mathematik und ihrer Grenzgebiete 3. Folge. 28 Springer, Berlin (1994). | MR

[11] Hogan, J. A., Lakey, J. D.: Time-Frequency and Time-Scale Methods: Adaptive Decompositions, Uncertainty Principles, and Sampling. Applied and Numerical Harmonic Analysis Birkhäuser, Boston (2005). | MR | Zbl

[12] Lapointe, L., Vinet, L.: Exact operator solution of the Calogero-Sutherland model. Commun. Math. Phys. 178 (1996), 425-452. | DOI | MR | Zbl

[13] Mejjaoli, H.: Practical inversion formulas for the Dunkl-Gabor transform on $\mathbb R^d$. Integral Transforms Spec. Funct. 23 (2012), 875-890. | DOI | MR

[14] Mejjaoli, H., Sraieb, N.: Uncertainty principles for the continuous Dunkl Gabor transform and the Dunkl continuous wavelet transform. Mediterr. J. Math. 5 (2008), 443-466. | DOI | MR | Zbl

[15] Polychronakos, A. P.: Exchange operator formalism for integrable systems of particles. Phys. Rev. Lett. 69 (1992), 703-705. | DOI | MR | Zbl

[16] Rösler, M.: An uncertainty principle for the Dunkl transform. Bull. Aust. Math. Soc. 59 (1999), 353-360. | DOI | MR | Zbl

[17] Rösler, M., Voit, M.: Markov processes related with Dunkl operators. Adv. Appl. Math. 21 (1998), 575-643. | DOI | MR | Zbl

[18] Shimeno, N.: A note on the uncertainty principle for the Dunkl transform. J. Math. Sci., Tokyo 8 (2001), 33-42. | MR | Zbl

[19] Wilczok, E.: New uncertainty principles for the continuous Gabor transform and the continuous wavelet transform. Doc. Math., J. DMV (electronic) 5 (2000), 201-226. | MR | Zbl

Cité par Sources :