Adaptive Filters

Overview: Updated for Summer Term 2016

Adaptive Filters (suitable for Master-Program)
In this course the fundamentals of adaptive filters are treated. Therefore, the necessary algorithms will be derived and demonstrated on examples from the field of speech and audio signal processing.
Lecturer: Prof. Dr.-Ing. Henning Puder,
TU Darmstadt und Sivantos GmbH, Erlangen
Time: Mondays, 8.00 h – 10:30 h (3 x 45 min + break) + 4 exercises 10:45 – 11:30 h (1 x 45 min)
Start: Monday, April 11, 2016
Room: S3|06/052
Lecture language:

German or English on request; Lecture notes in English
Credit points:
6 credit points
Desirable prerequisites:
Basics in digital signal processing
Type of exam:
Oral. Prerequisites: Either you give a presentation on a selected “adaptive filter” topic. Or, you answer questions on a selected lecture. For details please check moodle