This course has been discontinued.
Last planned examination: Spring 2021Decision to discontinue this course: No information inserted
Wavelets as a tool for coding of audio and image signals, noise reduction and diagnostics.
Content and learning outcomes
The Haar system, filterbanks with exact reconstruction, fast implementations, multi-scale analysis and wavelet bases, linear and non-linear programming.
Application of wavelets for data compression and noise reduction of sound and images, detection and classification of signals.
Introduction to relevant real areas of application and the news development in applied harmonic analysis.
Intended learning outcomes
To give the students the mathematical and practical knowledge so that they will be able to
- use wavelet methods on simple problems in signal processing.
- understand the basic ideas behind some existing applications of wavelets.
Literature and preparations
SF1629 Differential equations and transforms II, or equivalent knowledge.
Jöran Bergh, Fredrik Eksetdt, Martin Lindberg: Wavelets, Studentlitteratur
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
- TEN1 - Examination, 6.0 credits, grading scale: A, B, C, D, E, FX, F
The examiner may apply another examination format when re-examining individual students.
Other requirements for final grade
Project (PRO; 6 hp).
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.Course web SF2702