Study Guide@lith
 

Linköping Institute of Technology

 
 
Valid for year : 2016
 
TATA66 Fourier and Wavelet Analysis, 6 ECTS credits.
/Fourier- och waveletanalys/

For:   MMAT   Y  


OBS!

The course is only offered every second year. It will be offered during 2016.

 

Prel. scheduled hours: 36
Rec. self-study hours: 124

  Area of Education:

Main field of studies: Mathematics, Applied Mathematics

  Advancement level (G1, G2, A): A

Aim:
To give the student a deeper understanding of Fourier analysis and to give a theoretical background to wavelets and applications in signal processing. The student should reach good comprehension in the following fields.
  • Basic Hilbert space theory
  • Fourier series and the Fourier transform
  • The theory of distributions
  • Multiresolution analysis (MRA)
  • Some commonly used wavelet systems


Prerequisites: (valid for students admitted to programmes within which the course is offered)
Linear Algebra, Caculus in one and severel variables, Fourier Analysis or Transform Theory

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.

Organisation:
Lectures.
The course runs over the entire spring semester.


Course contents:
Introduction to the Lebesgue integral. Hilbert spaces: Inner products, orthogonal projection, convergence, completeness, orthonormal systems, orthonormal bases. Fourier series: Convergence theorems, Parseval�?Ts identity. The Fourier transform: Basic properties, inversion, Plancherel�?Ts identity, the Schwartz class. Distributions: Operations on distributions, tempered distributions, the Fourier transform, convolutions, periodic distributions, the Poisson summation formula, the sampling theorem. Wavelets: The Haar system, MRA (multiresolutional analysis), the Shannon wavelet, Meyer's wavelets, and wavelets with compact support, e.g., Daubechies' wavelets. Applications to differential equations and filter theory.

Course literature:
C. Gasquet, P. Witomski: Fourier Analysis and Application. Filtering, Numerical Computation, Wavelets, Springer-Verlag, 1998. Hand out material.

Examination:
Written assignments
6 ECTS
 



Course language is Swedish.
Department offering the course: MAI.
Director of Studies: Göran Forsling
Examiner: Mats Aigner
Link to the course homepage at the department


Course Syllabus in Swedish

Linköping Institute of Technology

 


Contact: TFK , val@tfk.liu.se
Last updated: 12/28/2015