I was a PhD candidate in the
Department of Electrical
Engineering at Princeton
University. My advisers
were Peter Ramadge and
Ingrid Daubechies.
My interests include neural networks, statistical signal processing,
geometry of learning and manifold learning, harmonic analysis,
compressive sensing, and their applications to inverse problems,
biomedical imaging, and forgery detection in art.
Thesis
My PhD thesis is available for download:
Efficient Representations of Signals in Nonlinear Signal Processing with Applications to Inverse Problems
(pdf)
Projects
Instantaneous Frequency Estimation and Applications
Click here to go to the homepage of the MATLAB Synchrosqueezing Toolbox.
The Synchrosqueezing algorithm for time-varying spectral analysis: robustness properties and new paleoclimate applications.
G. Thakur, E. Brevdo, N.S. Fučkar, and H-T. Wu.
Submitted, July 2012.
(arXiv) (code)
Nonlinear Signal Processing and Machine Learning
Semisupervised Learning: The Regularized Laplacian, Geodesics, and
the Small Viscosity Limit. E. Brevdo and P. J. Ramadge. Submitted, April 2011.
Bridge Detection and Robust
Geodesics Estimation via Random Walks. E. Brevdo and P. J. Ramadge. International
Conference on Acoustics, Speech, and Signal Processing (ICASSP),
Dallas, TX, March 2010.
(paper)
(poster)
Image Processing for Artist Identification: Stylistic Analysis
Stylistic Analysis of Paintings Using Wavelets and Machine Learning.
S. Jafarpour, G. Polatkan, E. Brevdo, S. Hughes, A. Brasoveanu, and
I. Daubechies. European Signal Processing Conference (EUSIPCO) 2009.
(paper)
Image Processing for Artist Identification: Brushwork in the Paintings of Vincent Van Gogh.
C. R. Johnson, Jr., E. Hendriks, I. Berezhnoy, E. Brevdo, S. Hughes,
I. Daubechies, J. Li, E. Postma, and J.Z. Wang.
IEEE Signal Processing Magazine Special Issue on Visual Cultural
Heritage, July 2008.
(link)
