Ingrid Daubechies

Ingrid Daubechies
  • James B. Duke Professor of Mathematics and Electrical and Computer Engineering
  • Professor in the Department of Mathematics
  • Professor in the Department of Electrical and Computer Engineering (Joint)

Research Areas and Keywords

Analysis
wavelets, inverse problems
Biological Modeling
shape space
Computational Mathematics
inverse problems
Geometry: Differential & Algebraic
shape space
Mathematical Physics
time-frequency analysis
Signals, Images & Data
wavelets, time-frequency analysis, art conservation
Education & Training
  • Ph.D., Vrije Universiteit Brussel (Belgium) 1980

Daubechies, I., et al. “A/D conversion with imperfect quantizers.” Ieee Transactions on Information Theory, vol. 52, no. 3, Mar. 2006, pp. 874–85. Scopus, doi:10.1109/TIT.2005.864430. Full Text

Zou, J., et al. “Theoretical and experimental analysis of a randomized algorithm for Sparse Fourier transform analysis.” Journal of Computational Physics, vol. 211, no. 2, Jan. 2006, pp. 572–95. Scopus, doi:10.1016/j.jcp.2005.06.005. Full Text

Roussos, E., et al. “Variational Bayesian learning for wavelet independent component analysis.” Aip Conference Proceedings, vol. 803, Nov. 2005, pp. 274–81. Scopus, doi:10.1063/1.2149805. Full Text

Daubechies, I., and G. Teschke. “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. Scopus, doi:10.1016/j.acha.2004.12.004. Full Text

Pierpaoli, E., et al. “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. 261–71. Scopus, doi:10.1111/j.1365-2966.2005.08896.x. Full Text

Daubechies, I., and E. H. Lieb. One-electron relativistic molecules with coulomb interaction. Jan. 2005, pp. 471–84. Scopus, doi:10.1007/3-540-27056-6_33. Full Text

Daubechies, I., et al. “A detailed study of the attachment strategies of new autonomous systems in the as connectivity graph.” Internet Mathematics, vol. 2, no. 2, Jan. 2005, pp. 185–246. Scopus, doi:10.1080/15427951.2005.10129103. Full Text

Rudin, C., et al. “Boosting based on a smooth margin.” Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), vol. 3120, Dec. 2004, pp. 502–17.

Rudin, C., et al. “The dynamics of AdaBoost: Cyclic behavior and convergence of margins.” Journal of Machine Learning Research, vol. 5, Dec. 2004, pp. 1557–95.

Daubechies, I., et al. “An iterative thresholding algorithm for linear inverse problems with a sparsity constraint.” Communications on Pure and Applied Mathematics, vol. 57, no. 11, Nov. 2004, pp. 1413–57. Scopus, doi:10.1002/cpa.20042. Full Text

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