Digital Signal Processing (advanced)

Lecturer: A. Dekorsy
Tutor: S. Wang
Lecture: Monday 10:00 - 13:00 in Room NW1 S1270
Tutorial: Monday 10:00 - 13:00 in Room NW1 N1250
VAK: 01-15-03-DSP-V
Literature:

Digital Signal Processing in general:
Kammeyer, Kroschel, "Digitale Signalverarbeitung", Springer Vieweg (in German)
Proakis, Manolakis, "Digital Signal Processing", Prentice Hall (in English)
Oppenheim, Shafer, „Discrete-Time Signal Processing“, Prentice Hall (in English)

For the section on Linear Estimation:
Sayed, „Adaptive Filters“, Wiley
Sayed, „Fundamentals of Adaptive Filtering“, Wiley
Kailath, Sayed, Hassibi, "Linear Estimation", Prentice Hall
Haykin, „Adaptive Filter Theory“, Prentice Hall
van Trees, „Detection, Estimation and Modulation Theory“, Wiley

Mailing List:

DSP Maillist


This lecture is now managed in Stud.IP Logo (GIF). All details will be found in Stud.IP.

This course follows the course Digital Signal Processing and covers advanced topics in digital signal processing as the discrete Fourier transform (DFT), its applications, linear estimation and spectrum estimation. 

Recommended background: digital signal processing, signal and system theory


The exam will be oral and around 15-20 minutes. There will be no Matlab exercise for the exam on DSP Advanced.

Last change on 09.01.2019 by S. Wang
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