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on
1
Introduction
2
Motivation
3
Project
4
Results
5
Hyperspectral Imaging
6
Clutter
7
Equations
8
Classical Least Square
9
Generalized Least Square
10
Matlab
11
Microparticles
12
Net Analyze Signal
13
Optimization
14
Spectra
15
Spectral Angle Mapping
16
Real Data
17
Local Solutions
18
Spectral Resolution
19
Limitations
20
Pros Cons
21
Methods
22
Questions
23
When
24
Conclusion
Description:
Explore the mathematical foundations of Classical Least Squares and its variants in this 52-minute seminar by José Amigo Rubio. Delve into Weighted Least Squares, Generalized Least Squares, Extended Least Squares, and aspects of Multivariate Curve Resolution. Examine practical applications, including detecting ultratraces of micro and nanoplastics in sediments and biological materials, downweighting intra-class variance in NIR spectra of leaves as a preprocessing technique, and establishing new analytical detection limits. Learn about hyperspectral imaging, clutter reduction, optimization techniques, spectral angle mapping, and local solutions. Gain insights into the pros, cons, and limitations of these methods, and understand when to apply them effectively in data analysis and signal processing.

Classical and Generalized Least Squares

Chemometrics & Machine Learning in Copenhagen
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