IPAM Institute for Pure and Applied Mathematics UCLA NSF
Skip Navigation Links
Main Page
Program Poster PDF
Lodging & Air Travel
Schedule and Presentations

Adaptive Data Analysis and Sparsity

January 28 - February 1, 2013


Organizing Committee | Activities | Scientific Overview

Application | Contact Us

Organizing Committee

Laura Balzano (University of Michigan, Electrical and Computer Engineering)
Ingrid Daubechies (Duke University, Applied Harmonic Analysis)
Tom Hou (California Institute of Technology, Applied and Computational Mathematics)
Norden Huang (National Central University)
Haomin Zhou (Georgia Institute of Technology, School of Mathematics)

Back to Top

Scientific Overview

Data analysis is important and highly successful throughout science and engineering, indeed in any field that deals with time-dependent signals. For nonlinear and nonstationary data (i.e., data generated by a nonlinear, time-dependent process), however, current data analysis methods have significant limitations, especially for very large datasets. Recent research has addressed these limitations for data that has a sparse representation (i.e., for data that can be described by a only a few nonzero parameters) by exploiting methods such as compressed sensing, TV-based denoising, multiscale analysis, synchrosqueezed wavelet transform, nonlinear optimization, randomized algorithms and statistical methods. This workshop will bring together researchers from mathematics, signal processing, computer science and data application fields to promote and expand this research direction. Determination of trend and instantaneous frequency for nonlinear and non-stationary data are examples of the topics that the workshop will address.

This workshop will include a poster session; a request for posters will be sent to registered participants in advance of the workshop.

Back to Top

Confirmed Speakers

Laura Balzano (University of Michigan)
Michal Branicki (Courant Institute of Mathematical Sciences)
Xianyao Chen (First Institute of Oceanography)
Ingrid Daubechies (Duke University)
Patrick Flandrin (École Normale Supérieure de Lyon)
Dimitrios Giannakis (New York University)
Jerome Gilles (University of California, Los Angeles (UCLA))
John Harlim (North Carolina State University)
Jarvis Haupt (University of Minnesota, Twin Cities)
Tom Hou (California Institute of Technology)
Norden Huang (National Central University)
Jose Nathan Kutz (University of Washington)
Sofia Olhede (University College London)
Stanley Osher (University of California, Los Angeles (UCLA))
Chung-Kang Peng (Harvard Medical School)
Zuowei Shen (National University of Singapore)
Zuoqiang Shi (Department of Mathematical Sciences, Tsinghua University)
Yang Wang (Michigan State University)
Hau-Tieng Wu (University of California, Berkeley (UC Berkeley))
Zhaohua Wu (Florida State University)
Jack Xin (University of California, Irvine (UCI))
Haomin Zhou (Georgia Institute of Technology)

Back to Top

Back to Top

Contact Us:

Institute for Pure and Applied Mathematics (IPAM)
Attn: ADA2013
460 Portola Plaza
Los Angeles CA 90095-7121
Phone: 310 825-4755
Fax: 310 825-4756
Email: ipam@ucla.edu
Website: http://www.ipam.ucla.edu/programs/ada2013/

Back to Top

NSF Math Institutes   |   Webmaster