Providing a general insight into fundamental aspects of discrete system theory including algorithms for analysis of linear time invariant discrete systems in the time and complex domain, digital filters and harware implemetation of discrete systems.

The student who successfully completes this course will gain an insight into basic concepts of signal and system theories of discrete time which includes: - handling signals with discrete time - understanding general description of discrete systems, and their classification and qualitative properties - an overview of algorithms for the analysis of linear time-invariant discrete systems in time and complex domain and the concept of digital filtering, as well as techniques and procedures for hardware implementation of general discrete systems.

The concept of discrete time axis, the concept of signals with discrete time and operations with signals with discrete time. Fundamental aspects of the signal theory with discrete time in the arbitrary field. Operations with signals with discrete time in the field of real numbers. Bilateral Z-transformation, Unilateral Z-transformation, Discrete Fourier transformation. Fundamental aspects of the discrete system theory, description of the terminal behavior of the discrete system elements, their classification and connection. Linear time invariant discrete systems: analysis in the time domain and stability. Analysis of the linear time invariant discrete systems using unilateral Z-transformations and discrete Fourier transformations. The concepts of filtering, introduction to classification and synthesis of digital filters. Hardware implementation of discrete systems.

Lectures; Auditory Practice; Computer Practice; Laboratory Practice; Consultations.