Study programme | Français | ||
Applied Signal Processing | |||
Activité d'apprentissage à la Faculty of Engineering |
Code | Lecturer(s) | Associate Lecturer(s) | Subsitute Lecturer(s) et other(s) |
---|---|---|---|
I-TCTS-004 |
|
|
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term |
---|---|---|---|---|---|---|---|
Anglais | Anglais | 21 | 14 | 0 | 0 | 0 | Q1 |
Content of Learning Activity
Part I : Linear prediction of speech, CELP coding; sub-band coding of audio signals; audio watermarking; Part II : Bayesian methods for signal processing: methods for classification, graphical models ; temporal models; probabilistic graphical models for decision making and control;Labs : Introduction to digital signal processors.
Required Reading
Required Learning Resources/Tools
Not applicable
Recommended Reading
Recommended Learning Resources/Tools
Not applicable
Other Recommended Reading
Applied Signal Processing, A MATLAB-based proof of concept, T. DUTOIT, F. MARQUES, Springer, 2009Real-Time Digital Signal Processing based on the TMS320C6000, N. KEHTARNAVAZ, Elsevier, 2004
Mode of delivery
Type of Teaching Activity/Activities
Evaluations
The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)