## Basic Information

 Lecturers: Gerhard Schmidt (lecture) and Tobias Hübschen (exercise) Room: F-SR I 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: Introduction and application examples Signal properties and cost functions Wiener filter and principle of orthogonality Linear prediction RLS algorithm LMS algorithm and its normalized version Affine projection algorithm Control of adaptive filters Efficient processing structures Applications of linear prediction

no current news

## Schedule

The following schedule regarding lectures and excercises is preliminary and may be adapted during the semester.

 Date Content xx.xx.2020 tbd

## Lecture Slides

 Slides of the lecture "Introduction" (Introduction, boundary conditions of the lecture, applications) Slides of the lecture "Wiener Filter" (basics, principle of orthogonality, suppression of background noise) Slides of the lecture "Linear Prediction" (derivation of linear prediction, Levinson-Durbin recursion) Slides of the lecture "Algorithms (Part 1 of 2)" (RLS algorithm, LMS algorithm [part 1 of 2]) Slides of the lecture "Algorithms (Part 2 of 2)" (LMS algorithm [part 2 of 2], affine projection algorithm) Slides of the lecture "Control" (basic aspect, pseudo-optimal control parameters) Slides of the lecture "Processing Structures" (polyphase filterbanks, prototype lowpass filter design) Slides of the lecture "Applications of Linear Prediction" (Improving the speed of convergence, filter design)

## Extensions

 Extension for the lecture "Wiener Filter" (derivation of the error surface)

## Matlab Demos

 Matlab demo (GUI based) for adaptive system identification Matlab demo (GUI based) for adaptive noise suppression Matlab demo (GUI based) for linear prediction Matlab demo (GUI based) for the NLMS algorithms Matlab demo (GUI based) for prediction-based filter design

## Exercises

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.

Please contact This email address is being protected from spambots. You need JavaScript enabled to view it. with your topic suggestion. Below you can find the current schedule of the talks.

 Date Room Time Topic Presenter(s) xx.xx.2020 tbd xx:x h

## Exams

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

## Evaluations

 Current evaluation Completed evaluations

#### Website News

17.12.2019: Journal paper on signal processing for breathing protection masks published.

23.11.2019: GaS price 2019 for Jannek Winter for an excellent bachelor topic on underwater communication systems.

15.11.2019: Our new MIMO-SONAR system (sponsored by DFG) is now ready for "take off".

20.10.2019: We had a very good retreat on the island of Sylt.

07.08.2019: Talk from Juan Rafael Orozco-Arroyave added.

11.07.2019: First free KiRAT version released - a game for Parkinson patients

25.06.2019: About 30 pupils from the Isarnwohld-Schule in Gettorf visited us.

02.05.2019: Christin Baasch finished sucessfully her defense on the evaluation of Parkinson speech.

30.11.2018: New student project on driver distraction added.

#### Recent Publications

M. Brodersen, A. Volmer, G. Schmidt: Signal Enhancement for Communication Systems Used by Firefighter, EURASIP Journal on Audio, Speech, and Music Processing, vol. 21, pp. 1 - 19, 2019

E. Elzenheimer, H. Laufs, W. Schulte-Mattler, G. Schmidt: Signal Modeling and Simulation of Temporal Dispersion and Conduction Block in Motor Nerves, IEEE Transactions on Biomedical Engineering, November 2019, doi: 10.1109/TBME.2019.2954592

### Contact

Prof. Dr.-Ing. Gerhard Schmidt

E-Mail: gus@tf.uni-kiel.de

Christian-Albrechts-Universität zu Kiel
Faculty of Engineering
Institute for Electrical Engineering and Information Engineering
Digital Signal Processing and System Theory

Kaiserstr. 2
24143 Kiel, Germany

How to find us

## Recent News

MIMO SONAR System

Recently, we get the new projector front-ends from Atlas Elektronik for our MIMO SONAR system. This was part of the "Großgerät" which was obtained with the help of the German research foundation (DFG). Now we are able to perform underwater experiments that will show if our ideas and corresponding realt-time algorithms also works in real environments.

We would like to thank all of our ...