# Ingrid Daubechies

- James B. Duke Distinguished 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

Fellow. American Mathematical Society. September 2013

Fellow. Institute of Electrical and Electronics Engineers. September 2013

Fellow. MacArthur Foundation. September 2013

Guggenheim Fellow. Unknown. September 2013

Jack S.Kilby Signal Processing Medal. Institute of Electrical and Electronics Engineers. September 2013

Leroy P. Steele Prize for Seminal Contribution to Research. American Mathematical Society. September 2013

Louis Empain Prize for Physics. Unknown. September 2013

Nemmers Prize in Mathematics. Northwestern University. September 2013

## Pages

Cornelis, Bruno, et al. “Removal of Canvas Patterns in Digital Acquisitions of Paintings.” *Ieee Transactions on Image Processing : A Publication of the Ieee Signal Processing Society*, vol. 26, no. 1, Jan. 2017, pp. 160–71. *Epmc*, doi:10.1109/tip.2016.2621413.
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Wu, Hau-Tieng, et al. “Optimizing Estimates of Instantaneous Heart Rate from Pulse Wave Signals with the Synchrosqueezing Transform.” *Methods of Information in Medicine*, vol. 55, no. 5, Oct. 2016, pp. 463–72. *Epmc*, doi:10.3414/me16-01-0026.
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O’Neal, Wesley T., et al. “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, Sept. 2016, pp. 811–15. *Epmc*, doi:10.1016/j.amjcard.2016.06.047.
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Yin, R., et al. “Removing cradle artifacts in X-ray images of paintings.” *Siam Journal on Imaging Sciences*, vol. 9, no. 3, Aug. 2016, pp. 1247–72. *Scopus*, doi:10.1137/15M1053554.
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Daubechies, I., et al. “Sparsity-enforcing regularisation and ISTA revisited.” *Inverse Problems*, vol. 32, no. 10, Aug. 2016. *Scopus*, doi:10.1088/0266-5611/32/10/104001.
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Huang, Norden E., et al. “Adaptive data analysis: theory and applications.” *Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences*, vol. 374, no. 2065, Apr. 2016, p. 20150207. *Epmc*, doi:10.1098/rsta.2015.0207.
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Daubechies, Ingrid, et al. “ConceFT: concentration of frequency and time via a multitapered synchrosqueezed transform.” *Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences*, vol. 374, no. 2065, Apr. 2016, p. 20150193. *Epmc*, doi:10.1098/rsta.2015.0193.
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Daubechies, I., and R. Saab. “A Deterministic Analysis of Decimation for Sigma-Delta Quantization of Bandlimited Functions.” *Ieee Signal Processing Letters*, vol. 22, no. 11, Nov. 2015, pp. 2093–96. *Scopus*, doi:10.1109/LSP.2015.2459758.
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Pizurica, A., et al. “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. 112–22. *Scopus*, doi:10.1109/MSP.2015.2411753.
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Yang, H., et al. “Quantitative canvas weave analysis using 2-D synchrosqueezed transforms: Application of time-frequency analysis to art investigation.” *Ieee Signal Processing Magazine*, vol. 32, no. 4, July 2015, pp. 55–63. *Scopus*, doi:10.1109/MSP.2015.2406882.
Full Text Open Access Copy

## Pages

Moayeri, N., et al. “Wavelet transform image coding using trellis coded vector quantization.” *Icassp, Ieee International Conference on Acoustics, Speech and Signal Processing Proceedings*, vol. 4, 1992, pp. 405–08. *Scopus*, doi:10.1109/ICASSP.1992.226350.
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## Pages

On June 4th, 2018, Professor Ingrid Daubechies was the first female recipient of the William Benter Prize in Applied Mathematics. This prestigious award recognizes outstanding mathematical contributions that have had a direct and fundamental impact... read more »

In a paper published in the *SIAM Journal on Imaging Sciences*, Rujie Yin, Bruno Cornelis, Gabor Fodor, Noelle Ocon, David Dunson, and Ingrid Daubechies present an... read more »

Ingrid Daubechies, a prominent mathematician whose pioneering work on wavelets is the foundation for millions of consumer products, has received a $1.5 million grant from the Simons Foundation. The... read more »

Duke undergraduates know professor Ingrid Daubechies as an instructor of multivariable calculus, but beyond Duke, she has become famous for her study of wavelets, or mathematical functions with the ability to enhance image compression technology... read more »

SWIM (Summer Workshop In Mathematics) is a 9-day workshop for female rising senior high school students interested in mathematics. All students currently in their junior year of high school are eligible to apply. Participants in the workshop will... read more »