Modul

Success is assessed in the form of an oral examination lasting approx. 30 minutes.

Graduates are able 

• to name, discuss and analyze the functional-analytical principles of continuous and discrete wavelet transforms,
• to apply the wavelet transform as an analysis tool in signal and image processing and evaluate the results obtained,
• to explain design aspects for wavelet systems.

none

• Short-time Fourier transform
• Integral  wavelet transform
• Wavelet frames
• Wavelet basis
• Fast wavelet transform
• Construction of orthogonal and bi-orthogonal wavelet systems
• Applications in signal and image processing

The course "Functional analysis" is recommended.

Total workload: 240 hours

Attendance: 90 hours

• lectures, problem classes, and examination 

Self-studies: 150 hours

• follow-up and deepening of the course content,
• work on problem sheets,
• literature study and internet research relating to the course content,
• preparation for the module examination