Infopaket

Advanced Digital Signal Processing

ОК 12

Вибіркова дисципліна для ОП

Second

2021/2022

3 Semester

5

The student must know: Mathematical foundations, base principles and methods of modern digital signal processing, which they will be able to use in solving engineering problems, primarily in the analysis of experimental data and in the development of radio signal and multimedia information processing systems. The student must be able to: Use the wavelet transform to solve practical problems, solve incorrect problems using standard libraries, design adaptive filters to suppress noise interference, and develop appropriate software.

Full-time form

Before studying the discipline "Advanced digital signal processing", students need to master the basics of mathematical analysis and linear algebra, taught in the undergraduate discipline "Higher mathematics", the basic concepts of physics and electrical engineering, taught in the disciplines "General physics" and "Theory of electric and magnetic circles" and the fundamental concepts of digital signal processing, which are presented in the discipline "Digital signal processing".

The discipline "Advanced digital signal processing" includes basic information on the theory and methods of solving ill-posed problems, construction of adaptive filters, and applications of the wavelet transform for data processing. In addition, students get acquainted with the main approaches to the hardware implementation of digital filters and with the problems that arise. The main concepts studied within the framework of this discipline are illustrated by examples of their application in real experimental data processing systems.

1. О.В.Барабанов. Основи цифрової обробки сигналів. Навчальний посібник, видавнича лабораторія ФРЕКС КНУ імені Т.Шевченка. – 2013. - 120 с. 2. Steven W. Smith, Ph.D. The Scientist and Engineer's Guide to Digital Signal Processing. - 1045p. 3. Richard G. Lyons. Understanding Digital Signal Processing. - 612 p. 4. A.V.Oppenheim and R.W.Schafer. Discrete-Time Signal Processing // Prentice-Hall, 3Ed. - 890 p. 5. William D. Stanley. Digital Signal Processing. 6. J.G.Proakis and D.G.Manolakis. Digital Signal Processing: Principles, Algorithms and Applications. - 945 p. 7. Rabiner, Lawrence R. Multirate Digital Signal Processing // Prentice-Hall Series in Signal Processing. - 1983.

Lectures, laboratory classes, unsupervised work.

- Semester assessment. After each of two semantic modules the written test is carried out, the result of each test is scored from 0 to 30 points. -Final assessment. The written examination is carried out at the end of semester; the permit to examination is given if the subtotal result of two tests is no less then 30 points; examination test consists of 2 tasks and two problems, the performance of each task and solution of each problem is scored from 0 to 10 points. The result of learning of the subject is considered positive if the total score for semantic modules and exam exceeds 60 points, the score for exam must be higher than 20 points.

Ukrainian