Advanced Signal Processing
| Code | Completion | Credits | Range | Language |
|---|---|---|---|---|
| A0M38PMZ | Z,ZK | 5 | 2+2L | Czech |
- Lecturer:
- Radislav Šmíd (gar.)
- Tutor:
- Radislav Šmíd (gar.)
- Supervisor:
- Department of Measurement
- Synopsis:
-
The course introduces advanced signal processing methods and their applications and implementation in information systems. In the labs real application using Matlab and digital signal processor will be developed (de-noising, multimedia effects, telecommunication).
- Requirements:
-
Fundamentals of Digital Signal Processing and Linear Algebra.
- Syllabus of lectures:
-
1. Motivation, Signals, Representation and Quantisation
2. Signal Processing and Analysis
3. Adaptive signal processing
4. Statistical Signal Processing
5. Estimation and Detection
6. Time-frequency and Time-scale methods
7. Non-linear and Morphological Methods
8. Higher-Order Spectral Analysis
9. Sensor Array Processing, Beamforming
10. Multirate Signal Processing
11. Fast Algorithms and Structures
12. Finite Precision Effects
13. Applications
- Syllabus of tutorials:
-
1. Course Information, Schedule, Lab Practice and Electrical Safety
2. Assignment of Individual Project, MATLAB
3. Individual Project
4. Individual Project
5. Individual Project
6. Individual Project
7. Individual Project
8. Individual Project
9. Individual Project
10. Individual Project
11. Individual Project
12. Individual Project
13. Presentation of Individual Project, Assessment
- Study Objective:
- Study materials:
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[1] Stergios Stergiopoulos, Advanced Signal Processing Handbook, CRC Press 2001.
[2] Vijay K. Madisetti, Douglas B. Williams, Digital Signal Processing Handbook, CRC Press 1999.
- Note:
- Time-table for winter semester 2011/2012:
-
06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon Tue Fri Thu Fri - Time-table for summer semester 2011/2012:
- Time-table is not available yet
- The course is a part of the following study plans: