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SGN-2406 Spectrum Estimation and Array Signal Processing, 4 cr |
Ioan Tabus
Lecture times and places | Target group recommended to | |
Implementation 1 |
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Final exam.
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Teach the student about spectrum estimation methods and their applications to speech-, audio- and array-processing.
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | Periodogram and correlogram. | ||
2. | Nonparametric spectrum analysis. | ||
3. | Filter-bank approach. | ||
4. | Parametric methods for line spectra. | ||
5. | Rational spectral models, Spatial methods. |
Course is graded on the basis of answers to exam questions. Very good grade is obtained when exam questions are correctly answered and accepted project work. Course acceptance threshold is 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 | "Spectral Analysis of Signals" | Stoica, P. & Moses, R. | Prentice Hall, 2005 | English |
Course | O/R |
SGN-1107 Introductory Signal Processing | Obligatory |
SGN-1200 Signaalinkäsittelyn menetelmät | Obligatory |
SGN-1250 Signaalinkäsittelyn sovellukset | Recommended |
Course | Corresponds course | Description |
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Description | Methods of instruction | Implementation | |
Implementation 1 |
Contact teaching: 0 % Distance learning: 0 % Self-directed learning: 0 % |