Lecture "Advanced Digital Signal Processing"
Basic Information | |
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Lecturers: | Gerhard Schmidt (lecture) and Owe Wisch (exercise) |
Room: | Building F, room F-SR-I and online (via zoom) for students that are not able to attend in presence |
Language: | English |
Target group: | Students in electrical engineering and computer engineering |
Prerequisites: | Basic Knowlegde about signals and systems |
Contents: |
Students attending this lecture should be able to implement efficient and robust signal processing structures. Knowledge about moving from the analog to the digital domain and vice versa including the involved effects (and trap doors) should be acquired. Also differences (advantages and disadvantages) between time and frequency domain approaches should be learnt. Topic overview:
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References: | J. G. Proakis, D. G. Manolakis: Digital Signal Processing: Principles, Algorithms, and Applications, Prentice Hall, S. K. Mitra: Digital Signal Processing: A Computer-Based Approach, McGraw Hill Higher Education, 2000 A. V. Oppenheim, R. W. Schafer: Discrete-time signal processing, Prentice Hall, 1999, 2nd edition M. H. Hayes: Statistical Signal Processing and Modeling, John Wiley and Sons, 1996 |
News
Due to the current rising Covid-19 numbers, lecture and exercise will be held online starting Nov. 22.
The lecture will be conducted as a "conventional" lecture (in presence) every Monday, 08:15 h. The first lecture starts on October, 25th. In addition, the lecture will be streamed as a live event via zoom. For the latter mode, olease register for the lecture via the OLAT platform. After registration you will get the zoom link for accessing the lecture via zoom.
Lecture Slides
Exercises
Please note that the questionnaires will be uploaded every week before the excercises, if you download them earlier, you won't get the most recent version.
Evaluation | |||
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Completed evaluations |
Matlab demos
Matlab file for the comparison of window sequences (click to expand)
{easycodeinc https://dss.tf.uni-kiel.de/images/teaching/lectures/advanced_digital_signal_processing/code_examples/advanced_win_functions.m, 0}
Matlab file for the effects of quantization on filter design (click to expand)
{easycodeinc https://dss.tf.uni-kiel.de/images/teaching/lectures/advanced_digital_signal_processing/code_examples/filter_design_with_quantization.m, 0}
Exams
It's an oral exam. Please register for the exam via our exam booking system.