| Type: | Open University
Language: English |
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No credit points with: D4693
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Prerequisite: 92062
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Recommended semester: 5th or 6th semester
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Scope and form: Lectures and project work.
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Examination: Evaluation of report and oral presentation (13-scale)
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Remarks: This course may be cancelled, therefor always check with the contact person before signing on.
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| Contact person: | Jørn Winge Bang, Building 451, Tel. +45 4525 5236, email jwb@iae.dtu.dk |
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Department: Department of Applied Electronics
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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,
- understand the principles in adaptive control systems, where aim is optimal control of a system/machine, and
- design of adaptive noise reduction systems, which continuously adapts to time-varying noise,
- design of advanced adaptive filters,
- design and test of adaptive systems by using modern simulation tools.
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Contents: Introduction to adaptive systems, especially related to telecommunication systems.
Description of the advantages of adaptive systems, e.g. adaptive filters changing transfer function as a function of time to ensure optimal noise 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 telecommunication systems. Adaptive control systems. Adaptive medical measurement systems. Adaptive geological measurement systems. Introduction to adaptive neural models inspired by the signal processing in the brain.
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