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Fourier transform and its applications in data analysis

February 28 @ 2:00 pm - 5:00 pm

Rackham Building, Earl Lewis Room, 3rd Floor East

Spectral decomposition of time series (1-D) and image (2-D) data is a commonly used technique across various disciplines that use sensors for data collection. Fourier analysis is the foundation of spectral decomposition methods and provides basis (and intuition) for the more advanced methods in time-frequency analysis such as wavelets and Wigner-Ville decomposition. This workshop will cover 1-D Fourier transform with applications to signals and time series data and will also provide a flavor of applications in image processing.

Details

Date:
February 28
Time:
2:00 pm - 5:00 pm
Event Category:
Event Tags:
,

Venue

Rackham Building, Earl Lewis Room, 3rd Floor East
915 E. Washington St.
Ann Arbor, MI 48109 United States

Organizer

CSCAR
Email:
cscar@umich.edu
Website:
cscar.research.umich.edu

Other

Instructors
Manish Verma
Class size
24
U-M Affiliated Fee
0
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