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SGN-2206 Adaptive Signal Processing, 5 cr |
Ioan Tabus
Lecture times and places | Target group recommended to | |
Implementation 1 |
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Assignment and final exam.
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Student will learn basic adaptive signal processing methods, especially linear adaptive filters and learning of supervised neural networks.
Course is graded on the basis of answers to exam questions. Very good grade is obtained when exam questions are correctly answered and homework is accepted. Course acceptance threshold is approx. half of the maximum exam points.
Numerical evaluation scale (1-5) will be used on the course
Type | Name | Author | ISBN | URL | Edition, availability, ... | Examination material | Language |
Book | "Adaptive Filter Theory" | S. Haykin | Prentice-Hall, 2002. | English |
Course | Mandatory/Advisable | Description |
SGN-1107 Introductory Signal Processing | Mandatory | |
SGN-1200 Signal Processing Methods | Mandatory | |
SGN-1250 Signal Processing Applications | Advisable |
Additional information about prerequisites
Either SGN-1107 or SGN-1200 is required.
Course | Corresponds course | Description |
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Description | Methods of instruction | Implementation | |
Implementation 1 |