Infopaket

Basics of digital communication

ВК 2.10

Вибіркова дисципліна для ОП

First

2022/2023

8 Semester

4

The student must know the functional structure of the canal digital communication; the concept of signal space; classification and characteristic features of the main methods of digital modulation; spectral properties of sample sequences and the origin of superposition noises; method of signal subsampling and its scope of application; random variable quantization methods; the concept of entropy and methods of optimal coding of a discrete source of information. The student must be able to apply visual methods programming for simulating a digital communication channel; calculate the probability of a signal detection error; determine the required bandwidth for the selected method of signal modulation; conduct a comparative analysis of digital modulation methods; choose the sampling frequency and quantization depth during analog-to-digital signal conversion; apply Huffman and Lempel-Ziv algorithms for digital signal coding.

Full-time form

The educational discipline "Basics of digital communication" is based on the cycle of professional and practical training disciplines: "Mathematical analysis", "Differential equations and probability theory", "Basics of programming", "Radio circuits and signals". The student should know: the basics of Fourier analysis, the concept of Euclidean space, the concept of probability and moment of a random variable, the concept of correlation function and power spectral density of a random process, the model of an electric circuit as a linear system. The student should be able to: analyze and solve physical problems using methods of mathematical analysis, probability theory and algorithmic programming.

The theoretical foundations of analysis and development are studied in the course digital communication systems. The structure and functional components of telecommunications are considered systems. Emphasis is placed on mathematical models of these components. Specific topics covered in the course include spectrum analysis of analog-to-digital conversion, analysis of digital modulation varieties in the Hilbert space of signals, optimal detection and error probabilities, entropy and optimal coding of a discrete source of information. Laboratory work is an independent component of the course and allows the student to learn how to apply the acquired theoretical knowledge to analyze the functional components of the telecommunications channel through its computer simulation.

1. Sklar, B. Digital Communications: Fundamentals and Applications, 2nd Edition: Prentice Hall PTR, 2001. - 1079 pages 2. Proakis, J. G., Salehi, M. Digital Communications, 5th Edition: McGraw-Hill Education, 2007. – 1150 pages. 3. Волощук Ю.І. Сигнали та процеси у радіотехніці. Том 1. - Харків: Компанія СМІТ, 2003. — 580 с. 4. Волощук Ю.І. Сигнали та процеси у радіотехніці. Том 2. - Харків: Компанія СМІТ, 2003. — 444 с.

Lectures, laboratory works, independent work of students.

Semester assessment: the thematic lecture plan is divided into two meaningful modules. Written modular control tests are conducted. Laboratory works form a separate third module. It is mandatory for credit to receive a grade of at least 60% for each module test and each report for laboratory work. maximum In the case of a student's absence due to good reasons to work out and rearrange the modules control work and laboratory work are carried out in accordance with the "Regulations on organization educational process at Kyiv National University".

Ukrainian