Study guide of JKU Linz
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KUSSS
Auwea NG
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Computational Mathematics
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Core Subjects
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Mathematical Methods in Modeling and Data Analysis
Inhalt
[
404MMMCWFAV23
]
VL
Wavelets – Functional Analytical Basics
Versionsauswahl
Version
2024W
2023W
Workload
Education level
Study areas
Responsible person
Hours per week
Coordinating university
3 ECTS
M - Master's programme
Mathematics
Ronny Ramlau
2 hpw
Johannes Kepler University Linz
Detailed information
Original study plan
Master's programme Computational Mathematics 2024W
Objectives
Theoretical and practical knowledge of theory of the wavelet transform. How can a function be reconstructed out of its wavelet coefficients.
Subject
(Windowed) Fourier transform, continuous and discrete wavelet transfor, frames, multiresolution analysis, mutlidimensional wavelet bases
Criteria for evaluation
Oral exam
Methods
Blackbord presentation
Language
English
Changing subject?
No
Further information
Lecture notes;
Ten Lectures on Wavelets by Ingrid Daubechies;
Wavelets by Louis, Maass, Rieder.
Earlier variants
They also cover the requirements of the curriculum (from - to)
403MMIEWFAV22: VL Wavelets – Functional Analytical Basics (2022W-2023S)
On-site course
Maximum number of participants
-
Assignment procedure
Direct assignment