English

Not applicable.

Of all faculties

A student who enrolls in the course should be able to compile a simple program in the Matlab environment and practice mathematical calculation procedures.

Requirements for completion of a course are specified by a regulation issued by the lecturer responsible for the course and updated for every. Students will be evaluated by credit on the basis of gaining points in practice (max. 30 points, min. 15 points) and the final exam (max. 70 points, min. 35 points).
Evaluation of activities is specified by a regulation, which is issued by the lecturer responsible for the course annually.

The aim of the course is to present to students a specialized mathematical-statistical apparatus, which is important for understanding the principles of modern wireless communication.
After completing the course, students should be able to independently solve problems associated with the verification and testing of assumptions and properties about the studied phenomena and data files in the telecommunications field. Furthermore, they should be able to independently solve practical tasks, ie choose and justify an appropriate method and apply it.
The student is able to: (a) quantifying the probability of the event; (b) distinguishing between the random variables and describe their characteristics; (c) to test the hypothesis; (d) analyse and describe measurements; (e) estimating the shape of the spectrum and identify the spectral components; (f) identify and test the presence of a signal in noise; (g) evaluate the classification and construct the ROC curve.

Not applicable.

Not applicable.

KOBAYASHI, H. et al. Probability, random processes, and statistical analysis, Cambridge University Press, 2012. (EN)

GOPI, E.S. Algorithm Collections for Digital Signal Processing Applications Using Matlab, Springer, 2007. (EN)
KAY, S. Intuitive Probability and Random Processing using MATLAB, Springer 2005. (EN)