|
|
| Offered by:
Department of Applied Electronics
(IAE) |
| No credit points with: D4693 |
| Prerequisite: 92062 |
| Recommended semester:
5th or 6th semester |
| Scope and form: Class lectures and project work. |
| Examination:
Evaluation of report and oral presentation
(13 point scale
) |
Remarks: A set of exercises are given in the semester. Together these exercises contitutes a report.
The exercises are solved in groups of two students. |
| Contact person: |
Jørn Bang, IAE, Building 451, Tel. +45 4525 5236 |
|
Aim: The objective of the course is to enable the student to:
- understand the functions of adaptive digital systems including the functions of adaptive filter,
- design of adaptive noise reduction systems, which continuously adapts to time-varying noise,
- design of advanced adaptive filters,
- understand the principles in adaptive control systems, where aim is optimal control of a system/machine, and
- design and test of adaptive systems by using modern simulation tools. |
Contents: Introduction to adaptive systems, especially related to communication systems.
Description of the advantages of adaptive systems, e.g. adaptive filters changing transfer function as a function of time to ensure optimal filtering.
Introduction to `engineering' stocastic signal processing. The linear adaptive combiner.
Optimization of performance functions in adaptive systems. Gradient search methods for optimization. Adaptive LMS algorithms and other adaptive algorithms.
Application areas (state-of-the-art examples): Adaptive noise reduction in communication systems. Adaptive control systems. Adaptive geological measurement systems. Introduction to adaptive neural models inspired by the signal processing in the brain. |
