Course detail

Signals 2

FEKT-BKC-SI2Acad. year: 2019/2020

The subject is focused on the analysis and digital processing of signals from the field of telecommunication. It provides a theoretical basis of signal modulation, discrete linear transformations, description of random process and its characteristics. It also deals with the problems of filtration (FIR, IIR, adaptive, inverse), correlation and spectral analysis of signals, detection of signals in noise. Theory is complemented by introductory information on complex and multidimensional signals. The subject provides both theoretical background and practical verification. To this end, the Matlab programming environment will be used.

Learning outcomes of the course unit

Students should have knowledge of the basic theory of digital processing and analysis of signals in the telecommunication field after completing the course. They should also be able to independently solve practical tasks, i.e. choose and justify a suitable method and implement it.


Objects are required BPC-SI1, BPC-PP1, BPC-MA1, BPC-MA2 Knowledge of elements of signal and system theory, mathematics on Bc level, Matlab.


Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

BELLANGER, Maurice. Digital processing of signals: theory and practice. 3rd ed. New York: Wiley, c2000. ISBN 978-0-471-97673-8. (EN)
JAN, Jiří. Číslicová filtrace, analýza a restaurace signálů. 2. upravené a rozšířené vydání. Brno: VUTIUM, 2002. ISBN 80-214-2911-9. (CS)
PROAKIS, John G. Algorithms for statistical signal processing. Upper Saddle River, N.J.: Prentice Hall, c2002. ISBN 0-13-062219-2. (EN)

Planned learning activities and teaching methods

Teaching methods depend on the way of teaching and are described in Article 7 of the BUT Rules for Studies and Examinations.
Teaching methods include lectures and computer exercises. Student develops individual tasks during computer exercises.

Assesment methods and criteria linked to learning outcomes

The conditions for the successful completion of the course are specified in the annually updated guarantor's order. In general
- obtaining credit on the basis of active participation in computer exercises (max. 24 points, minimum 12 points),
- Written parts of the final exam (max 60 points, minimum 30 points)
- Oral part of the final exam (maximum 16 points)

Language of instruction


Work placements

Not applicable.

Course curriculum

1. Introduction to signal analysis.
2. Modulation
3. Discrete linear transformations
4. Random signals and their characteristics
5. Linear filtering of signals. FIR type filters
6. Type IIR filters.
7. Adaptive filtration
8. Inverse filtration
9. Correlation analysis of signals
10. Spectral analysis of signals. Kepstrum.
11. Detection and restoration of signals in noise, inverse filtration
12. Complex signals and their use
13. Multidimensional signals and their processing


The aim of the course is to provide students with theoretical knowledge in the field of digital processing and signal analysis and practical verification of acquired skills.

Specification of controlled education, way of implementation and compensation for absences

The definition of the controlled education and the way of its implementation are stipulated by the updated guarantor's annual regulation.

Classification of course in study plans

  • Programme BKC-EKT Bachelor's, 2. year of study, summer semester, 6 credits, compulsory

Type of course unit



26 hours, optionally

Teacher / Lecturer

Computer exercise

26 hours, compulsory

Teacher / Lecturer