Adaptive Filters

Adaptive Filters

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.

Announcements

In summer semester 2020, this lecture will be offered only digitally. For more information, please register via TUCaN to get access to the moodle course.

Course Overview

Lecturer: Prof. Dr.-Ing. Henning Puder,
TU Darmstadt and Sivantos GmbH, Erlangen
Time: Lectures: Mondays, 8.00-10.30 a.m. (3 x 45 min + break)
4 Exercises: Mondays, 10.45-11.30 a.m. (1 x 45 min)
Start: Monday, April 20, 2020
Online lecture: Login will be provided via moodle on time
Language:

German or English on request; Lecture notes in English
Credit points:
6 credit points for Master students
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.
The oral exam dates in summer term 2020 are planned to be offered in July and October, after and before the lecture period, respectively.
Excursion: Unfortunately, due to the Corona crisis there is no plan to offer an excursion this year.

Contents

Exercises / Admission to the exam

Literature