Lecture "Adaptive Filters"
Basic Information | |
---|---|
Lecturers: | Gerhard Schmidt (lecture), Karolin Krüger (exercise) |
Room: | Building F, room SR-IV |
E-mail: | This email address is being protected from spambots. You need JavaScript enabled to view it. |
Language: | English |
Target group: | Students in electrical engineering and computer engineering |
Prerequisites: | Basics in system theory |
Contents: |
Students attending this lecture should learn the basics of adaptive filters. To achieve this, necessary algorithms will be derived and applied to problems arising in speech and audio processing. The algorithms comprise Wiener filtering, linear prediction, and adaptive schemes such as the NLMS algorithm, affine projection, and the RLS algorithm. For applications from speech and audio processing we use noise and reverberation reduction, echo cancellation, and beamforming. Topic overview:
|
News
No news yet.
Schedule
The following schedule regarding lectures and excercises is preliminary and may be adapted during the semester.
Each event starts at 8:15 h and might use the whole slot (lecture and exercise) until 11:45 h.
Date | Event |
---|---|
12.04.2023 | Lecture: Introduction |
19.04.2023 | Lecture: Wiener filter |
26.05.2023 | Lecture: Linear prediction |
03.05.2023 | Exercise: Wiener Filter and linear prediction |
10.05.2023 | Lecture: Algorithms part I |
17.05.2023 | Lecture: Algorithms part II |
24.05.2023 | Lecture: Control |
31.05.2023 | Exercise: Algorithms and Control |
07.06.2023 | Lecture: Processing structures |
14.06.2023 | Lecture: Applications of linear prediction |
21.06.2023 | Student talks |
28.06.2023 | Exercise: Processing structures and questions |
Lecture Slides
Extensions
Link | Content |
---|---|
![]() |
Extension for the lecture "Wiener Filter" (derivation of the error surface) |
Matlab Demos
Exercises
We provide additional videos and corresponding materials (e.g., questions and answers) for each topic below.
Exercises will be conducted according to the (preliminary) schedule above. Please register for the corresponding OLAT course to receive further information by mail (https://lms.uni-kiel.de/url/BusinessGroup/3276832778). Please bring a notebook for the exercises.
Video | Content | Material |
---|---|---|
Wiener filter:
|
||
Linear prediction:
|
||
Algorithms:
|
||
Control:
|
||
Processing structures:
|
Student Talks
As part of the lecture, each student will give a talk about a certain topic as a prerequisite to sit the exam. The aim is both to give you the chance to work on an adaptive filter-related topic that interests you, and to improve your presentational skills. The talks should take ten minutes, plus 2.5 minutes of discussion and 2.5 minutes of feedback.
Please contact us via This email address is being protected from spambots. You need JavaScript enabled to view it. with your topic suggestion until 14.06.2023. Below you can find the current schedule of the talks.
21.06.2023
Time | Topic | Presenter(s) |
---|---|---|
08:15 h | Opening | Gerhard Schmidt |
08:20 h | Adaptive Beamforming | Patrick Nwobodo |
08:35 h | Adaptive Filters in Digital Transmission | Johannes Diers |
08:50 h | Channel Equalization | Maximilian Klein |
09:05 h | Adaptive Filters for Active Sonar Detection | Lukas Schirmer |
09:20 h | Adaptive Filters in Economics and Finance | Luca Lohmann |
09:35 h | Application of Adaptive Filters in the Medical Field | Bamo Sadiq |
09:50 h | Adaptive Kalman Filtering for Navigation Systems | Torben Kannengießer |
10:05 h | The Application of Adaptive Filters in the MIMO-PLC System | Abul Fattah Muhammad |
10:20 h | Adaptive Filters in Medical Image Filtering | Md Nurul Islam |
Exams
If you do not have a date for the exam yet please register in the online booking system (once the exam dates have been set). You can find the booking system here.
Evaluation | |||
---|---|---|---|
![]() |
Current evaluation | ![]() |
Completed evaluations |