Adaptive Signal Processing Project 
Projektkurs i adaptiv signalbehandling

Educational programs:

Program	Course Code	Credits
Engineering Physics	1TT577	5
Information Technology	1IT120	4

 

Course moments:

Moment	Hours	Instructors
Lectures	18x2	Mikael Sternad , Mathias Johansson, Ping Wu
Project		Mikael Sternad , Pär Dahlman, Mathias Johansson, Daniel Aronsson,

Course description, spring 2004 (in swedish)

Lecture Schedule, spring 2004

Course homepage and results, 2004

Goal:

This project-oriented course is aimed to broaden, reinforce and deepen the knowledge about advanced signal processing algorithms and applications. A series of lectures provides a theoretical background on adaptation algorithms, tracking, model-based filter design and inverse filtering. The subsequent projects provide opportunities to test and evaluate advanced algorithms on challenging problems, mainly using acoustic signals. They also provide experience of working within a project group.

The projects all manipulate sound in different challenging applications, using adaptive signal processing techniques.

Prerequisites:

Signals and Systems, Signal Processing. Furthermore, Modulation, Demodulation and Coding will be a prerequisite for projects on acoustic digital communication.

Contents:

• Modelling: System identification. On-line adaptation of models of linear dynamic systems. Room acoustics and multipath propagation.
• Adaptive filter structures: FIR, IIR, and filter banks. Adaptation and tracking algorithms: RLS and Kalman-based adaptation. Hypermodel-based design of Kalman-based trackers and of algorithms with constant gains. LMS and RLS revisited. Analysis of adaptation speed and convergence. Frequency-domain adaptation. Effects of bad excitation and non-stationary signals.
• Implementation: Practical aspects, numerical effects, fixed-point calculations, the use of signal processors.

 

Project:

Groups of 3-4 students can choose among projects aimed at:

1. Active noise control in ventilation ducts and computer chassis.
2. Acoustic Digital Communication with adaptive TDMA
3. Acoustic Digital Communication with adaptive OFDM
4. Inversion of loudspeaker dynamics and room acoustics using direct adaptation
5. Blind acoustic source separation using nonlinear adaptive techniques.

The projects will utilize fast PC's and signal processors.

Examination:

A miniproject focuses on adaptation theory. Written report and oral presentation of the main project, and a demonstration of the resulting system. Each group will also develop their own webpage, which presents the results.

Literature:

Handouts and research papers.

Course responsibility:

Department of Material Science, Signals and Systems Group.