English

Not applicable.

Of all faculties

The graduate of the course
- has a good insight into the theory of digital methods of signal processing and analysis,
- is capable of assessing suitability of a particular method for a given practical task,
- has the basic application skills for implementation of these methods.

Knowledge of elements of signal and system theory, mathematics on Bc level

Not applicable.

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations. Techning methods include lectures and computer laboratories. Course is taking advantage of e-learning (Moodle) system.

Requirements for completion of a course are elaborated by the lecturer responsible for the course every year;
basically:
- obtaining at least 12 points (out of 24 as course-unit credit based on active presence in demonstration exercises),
- successful passing of final written exam (up to 76 points)

1. Classification of discrete methods of signal processing, properties and applications
2. Linear filtering - FIR filters 1
3. Linear filtering - FIR filters 2
4. Linear filtering - IIR filters 1
5. Linear filtering - IIR filters 2
6. Averaging of signals
7. Complex signals and analytic filters
8. Spectrum translation of signals
9. Correlation analysis of signals - estimation methods of the correlation function
10. Correlation analysis of signals - applications
11. Spectral analysis of deterministic signals
12. Spectral analysis of stochastic signals
13. Inverse filtering and principles of signal restoration

Not applicable.

To provide basic theoretical knowledge and practical experience in the area of digital signal processing, analysis and restoration

Obligatory computer tutorial attendance, only 20% absence may be justified by an official medical certificate.
Attendance at the lectures is only recommended.

Not applicable.

Not applicable.

J.Jan: Digital Signal Filtering, Analysis and Restoration. IEE Publishing, London, UK, 2000

Not applicable.