Digital Signal Processing

Major: Hardware-software devices of information communication systems
Code of subject: 6.172.10.E.076
Credits: 4.00
Department: Radioelectronic Appliances and Systems
Lecturer: PhD, associated prof. Leonid Lazko
Semester: 7 семестр
Mode of study: денна
Мета вивчення дисципліни: The discipline "Digital Signal Processing" aims to introduce the methods of digital processing of one-dimensional and multidimensional signals in systems of various purposes based on modern digital and opto-digital technology.
Завдання: The study of an educational discipline involves the formation of competencies in students of education: general competencies: Ability to abstract thinking, analysis and synthesis. Ability to apply knowledge in practical situations. Ability to plan and manage time. Knowledge and understanding of the subject area and understanding of professional activity. Ability to work in a team. Ability to learn and master modern knowledge. Ability to identify, pose and solve problems. Ability to system thinking; Ability to search and analyze information from various sources. professional competences: The ability to understand the essence and significance of information in the development of the modern information society. The ability to solve standard tasks of professional activity on the basis of information and bibliographic culture with the use of information and communication technologies and taking into account the basic requirements of information security. Ability to use basic methods, methods and means of obtaining, transmitting, processing and storing information. Ability to perform computer modeling of devices, systems and processes using universal application program packages. The ability to carry out instrumental measurements in information and telecommunication networks, telecommunication and radio engineering systems. Ability to perform digital signal processing - discrete and fast Fourier transform, correlation and cepstral analysis, wavelet transform and convolution calculation.
Learning outcomes: As a result of studying the academic discipline, the student must be able to demonstrate the following program learning outcomes: The ability to demonstrate knowledge of the basics of professionally oriented specialties in the field of radio electronic circuits and circuit engineering, electromagnetic field theory, radio electronic systems theory, telecommunication network theory, automatic control theory, methods of analysis of radio electronic and telecommunication systems and networks, design and production processes, software and hardware programming systems, administration of information networks, information protection, information technologies. The ability to demonstrate in-depth knowledge in at least one of the areas of radioelectronic and telecommunication systems and networks: radioelectronic systems, telecommunication systems and networks, information networks and communication, technologies for designing and manufacturing telecommunications equipment, designing software and hardware systems, developing software for embedded systems, administration of information communication networks. Application of understanding the main properties of the component base to ensure the quality and reliability of the functioning of telecommunications, radio engineering systems and devices. Competently use the terminology of the field of telecommunications and radio engineering Ability to adapt to new situations and make decisions
Required prior and related subjects: Previous academic disciplines: Signals and processes in radio electronics Fundamentals of the theory of radio technical systems Digital devices and microprocessors Associated and following academic disciplines: Fundamentals of the theory of radio technical systems Digital methods of implementation of radio engineering systems
Summary of the subject: In the process of teaching the discipline, the following are considered: the principles of converting signals from a continuous form into a discrete one and the phenomena that accompany this conversion, the properties of discrete systems, the processes of signal conversion when passing through a series of discrete systems. Modern methods of analysis and synthesis of digital signal conversion systems are also studied, as well as a modern element base for the implementation of such systems.
Опис: Introduction. Basic concepts. Fields of application of digital signal processing. Types of signals. Communication between signals of different types. Discretization of spatio-temporal signals. Kotelnikov's theorem. Signal conversion. Main properties. Spectral analysis. Convolution and correlation of signals and its application in physics and engineering. Digital filters. Processing of discrete signals. Implementation of linear digital filtering algorithms Digital image processing.
Assessment methods and criteria: Current monitoring of laboratory classes is carried out in order to identify the student's readiness for classes in the following forms: a selective oral survey before the start of classes; evaluation of the student's activity in the course of classes, submitted proposals, original solutions, clarifications and definitions, additions to previous answers, etc. Control questions are divided into: a) test tasks - choose the correct answers; b) problematic – creation of problematic situations; c) questions-replies - to identify cause-and-effect relationships; d) situational tasks - to determine the answer according to a certain situation; e) issues of a reproductive nature - determination of practical significance. The final control is carried out based on the results of the current control and performance of the control work.
Критерії оцінювання результатів навчання: Current control: laboratory classes - 15 points, practical classes - 5 points. Examination control: written component – 70 points; oral component - 10 points. Total for the discipline: – 100 points.
Recommended books: Basic 1. V.P. Bobak, V.S. Handetskyi, E. Schrufer. Signal processing. Textbook for students of technical specialties of higher educational institutions. Kyiv, "Lybid", 1996. - 392 p. 2. D. Dudgeon, R. Mersereau. Digital processing of multidimensional signals. Trans. with English - M.: 1988, 488 p. 3. V.S. Gutnikov Filtering of measurement signals. - L.: Energoatomizdat, 1990. - 192p. 4. U. Pratt. Digital image processing. Volumes 1 and 2. - M.: Mir. 1982. 5. G.I. Vasylenko, A.M. Taratorin Restoration of images - M.: Radio and communication, 1986. - 304 p. 6. A.M. Mole, E.B. Minervina Fast algorithms and programs for digital spectral processing of signals and images. - Minsk: Science and Technology, 1995. - 407 p. 7. Adaptive filters. Trans. with English Ed. K.F.N. Cowen and P.M. Granta. - M.: Mir, 1988. - 392 p. 8. R. Gonzales, P. Wints. Digital Image Processing, 1987. 9. C.E. Falkovych, V.I. Ponomarev, Yu.V. Squeaky Optimal reception of space-time signals in radio channels with scattering. - M.: Radio and communication, 1989. - 296 p. Auxiliary 1. L.M. Goldenberg, B.D. Matyushkin, M.N. Pole. Digital signal processing. Directory. - M.: Radio and communication, 1985. - 311 p. 2. E. Schrufer. Digital processing of discretized signals. Textbook for students of technical specialties of universities. Translation from German, 1992. - 294 p. Information resources 1. DSP Guide - Access Mode: https://www.dspguide.com/.