Infopaket

Digital information processing

ДВС.2.05

Вибіркова дисципліна для ОП

First

2023/2024

7 Semester

4

PLO 5. Be able to develop and use in practice algorithms related to the approximation of functional dependencies, numerical differentiation, and integration, solving systems of algebraic, differential, and integral equations, solving boundary value problems, and finding optimal solutions. PLO 13. Use specialized software products and software systems of computer mathematics in practical work. PLO 25.2. Be able to implement automatic and automated systems using mathematical and computer models, developed algorithms.

Full-time form

To successfully study the discipline "Digital information processing " the student must meet the following requirements: 1. Know: 1) Fundamentals of mathematical analysis, linear algebra, discrete mathematics, differential equations, operations research, and numerical methods. 2) Image processing software. 2. Be able to: 1) Apply basic algorithms for filtering, restoration, and recognition in information processing. 2) Apply algorithms for digital information processing. 3. Possess: 1) Skills in construction, analysis, and application of mathematical methods in solving problems of image processing.

The purpose of the discipline is to master the methods and acquire theoretical and practical knowledge in the field of digital image processing. During the course, students will learn the basic algorithms of digital information processing, image restoration, image compression, and pattern recognition.

1. Dag Stranneby. Digital Signal Processing. – and Applications, 2001, Newnes. 229 p. 2. William K. Pratt. Digital Image Processing. – Sun Microsystems, Inc. Mountain. View, California, 1991. 698 p. 3. Julius S. Bendat, Allan G. Piersol. Engineering Applications of Correlation and Spectral Analysis. – A Wiley-Interscience Publication John Wiley & Sons, 1980. 4. T.S. Huang Picture Processing and Digital Filtering. - Springer-Verlag New York, 1975, 275 p. 5. Tomas Holton. Digital Signal Processing. – Cambridge University Press, 2021, 1058 p. 6. Richard O. Duda, Peter E. Hart Pattern. Classification And Scene Analysis. – A Wiley-Interscience Publication John Wiley & Sons, 1973. 7. Steven W. Smith. Digital Signal Processing. – California Technical Publishing, 1999, 650 p. 8. Allan V. Oppenheim. Applications of Digital Signal Processing. – Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1978. – 534 p.

Lectures, laboratory work, independent work, elaboration of recommended literature, homework.

The maximum number of points a student can obtain is 100 points: 1. Laboratory work №1: 25/15 points. 2.Laboratory work №2: 25/15 points. 3. Laboratory work №3: 25/15 points. 4. Laboratory work №4: 25/15 points. Defense of laboratory works 1–4 requires the submission of a laboratory project.

Ukrainian