Infopaket

Basics of digital communication

ВБ 1.03

Вибіркова дисципліна для ОП

First

2021/2022

8 Semester

4

The student must know the functional structure of the channel digital communication; the concept of signal space as linear space; classification and characteristic features basic methods of digital modulation; assignment of the agreed filter; application of the maximum criterion plausibility; spectral properties of selective sequences and origin of superposition noises; method of signal subsampling and its scope of application; random variable quantization methods; the concept of entropy of a discrete source of information; methods of optimal coding of a discrete source of information. The student must be able to apply visual methods programming; calculate the probability of error signal detection; determine the required width of the strip; conduct a comparative analysis of methods digital modulation; choose sampling frequency and depth quantization with analog-digital signal conversion; apply Huffman algorithms and Lempel-Ziv.

Full-time form

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

Theoretical foundations are studied in the course analysis and development of digital communication systems. The structure and functional components are considered telecommunication system. Emphasis is placed on mathematical models of these components. Specific issues covered in the course include analog-digital spectrum analysis transformation, analysis of varieties of digital modulation in the Hilbert space of signals, optimal detection and error probabilities, entropy and optimal coding of a discrete source information Practical classes are an independent component of the course and allow the student to learn apply acquired theoretical knowledge to analyze the functional components of 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.

Lecture classes, practical classes, independent individual work.

Semester assessment: the thematic lecture plan is divided into two meaningful modules. Practical classes form a separate third module. It is mandatory to receive for each module control work and practical work such number of points, which is not less than 60% of the maximum.

Ukrainian