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1
Introduction
2
Welcome
3
Ainu Commission of Developing Countries
4
Building Cohorts
5
Foundations
6
Fellowships
7
Adaptive TimeFrequency Decomposition
8
Fourier Decomposition
9
Electrocardiogram
10
Birdsong
11
Decomposition
12
Fourier Transform
13
Linear Transform
14
Wavelet Transform
15
Parabola
16
Remapping
17
Noise
18
Signal
19
Time and Frequency
20
Multi Taper Analysis
21
UserMe Functions
22
Solution
Description:
Explore adaptive time-frequency methods in signal and image analysis through this third lecture in a series by Ingrid Daubechies at the Joint Mathematics Meetings 2020. Delve into topics such as Fourier decomposition, electrocardiogram analysis, birdsong decomposition, wavelet transforms, and multi-taper analysis. Learn about the foundations of adaptive time-frequency decomposition and its applications in various fields. Discover how mathematical frameworks can be used to analyze complex signals and images, with a focus on user-defined functions and practical solutions. Gain insights into the Ainu Commission of Developing Countries and the importance of building cohorts and fellowships in mathematical research.

Mathematical Frameworks for Signal and Image Analysis - Adaptive Time-Frequency Methods

Joint Mathematics Meetings
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