|Lecturers:||Gerhard Schmidt (lecture) and Tobias Hübschen (exercise)|
|Target group:||Students in electrical engineering and computer engineering|
|Prerequisites:||Basics in system theory|
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.
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The following schedule regarding lectures and excercises is preliminary and may be adapted during the semester.
|Extension for the lecture "Wiener Filter"
(derivation of the error surface)
The first exercise will be on 06.05.2019 at 8.15 h in F-SR I. Please prepare by reviewing the topics Wiener Filter and Linear Prediction.
The second exercise will be on 03.06.2019 at 8.15 h in F-SR I. Please prepare by reviewing the topics Algorithms and Control.
At the end of the semester, 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.
Below is the list of students with their exam dates. If you do not have a date for the exam yet please register in the online booking system. You can find the booking system here.
|Date||Time||Students (matriculation numbers)||Assessor|
|xx.xx.2020||xx:xx h||Tobias Hübschen|
|Current evaluation||Completed evaluations|