Advanced Signal Processing

Lecturer:

Tutor:

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:

[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:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: