Valid for: 2013/14
Decided by: Education Board A
Date of Decision: 2013-04-15
Elective for: C4, C4-ssr, D4, D4-bg, D4-ssr, E3, E3-bg, E3-ssr, F4, F4-ssr, F4-bg, Pi4
Language of instruction: The course will be given in English on demand
The course provides solutions to problems in signal processing where design of filters, filter banks and fast algorithms are in demand. The course presents the fundamentals of wavelets and points to different applications where wavelet analysis is a powerful tool. The student should obtain sufficient insights on theory and application to independently formulate the mathematical problem, to solve it, and to implement the solution for processing of real signals.
Knowledge and understanding
For a passing grade the student must
Competences and skills
For a passing grade the student must
Judgement and approach
For a passing grade the student must
Filter design:
Digital IIR filter design; Bilinear transformation; Digital FIR
filter design; Windowing, ideal filters, and the Gibbs phenomenon;
Equirippel filters.
Implementation:
Structure verification; Efficient FFT algorithms; Different types
of quantization.
Multirate signal processing and filter banks:
Up- and downsampling; Decimation and interpolation; Polyphase
decomposition; Nyqvist filters; Uniform filter banks; Two-channel
QMF; Multirate filters and wavelets.
Architecture and programming of the DSP
Grading scale: TH
Assessment: Exam at the end of the course. Optional hand-in problem after half-time. Two mandatory laboratory exercises.
Parts
Code: 0113. Name: Laboration 1.
Credits: 0. Grading scale: UG.
Code: 0213. Name: Laboration 2.
Credits: 0. Grading scale: UG.
Code: 0313. Name: Signal Processing - Design and Implementation.
Credits: 7,5. Grading scale: TH.
Required prior knowledge: ESS040 Digital Signalbehandling or ETI265 Signalbehandling i multimedia eller ETI080 Signalbehandling och kommunikation.
The number of participants is limited to: No
The course overlaps following course/s: ETIF01, ETI270
Course coordinator: Professor Leif Sörnmo, leif.sornmo@eit.lth.se
Course homepage: http://www.eit.lth.se/course/etif01