Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: Selected Chapters from Signal Processing (17.EK561)

General information:

Category	Professional-applicative
Scientific or art field	Telecommunications and Signal Processing
ECTS	5

To acquire new knowledge of state-of-the-art techniques, approaches and tools in the domain of signal processing. To additionally develop scientific competences, academical and practical skills in the domain of signal processing. The intention of the lecturers at this course is that the students should expand their knowledge of fundamental concepts in this area, understand their relationships and usage, and be able to define and solve a given practical problem, by identifying it and selecting appropriate methods to solve it, thus developing their reasoning and decision making as engineers. An additional course objective is that students should expand their capacity to study a scientific area using appropriate literature sources and develop a way of thinking based on sound knowledge of theory and oriented on solving practical problems.

Thorough knowledge of analysis and processing of continuous-time and discrete-time signals. Capability of solving complex problems in this area of engineering, based on scientific methods and procedures. Development of creative and independent reasoning about problems in the domain of signal processing. After this course the students are able to critically think, logically connect theoretical and practical knowledge of signal processing, apply the acquired knowledge and work in teams, demonstrate their understanding and skills, as well as apply the obtained knowledge for development of new solutions in the domain of signal processing. After this course the students are able to further study this domain by using a wider range of literature sources in search of information needed for expanding the level of their knowledge and skills.

Study of state-of-the art techniques related to a wide range of domains of application of discrete-time signal analysis and processing: speech and audio signal processing, image and video processing, processing of biomedical, seismic, financial and other types of signals. Study of techniques related to feature extraction, array processing, quality improvement. Advanced topics in transform theory, spectral modelling and estimation.

Lectures, problem solving sessions and computer laboratory work, consultations. Project tasks that may serve as a basis for subsequent definition of the topic of the master thesis and its realization.

Authors	Title	Year	Publisher	Language
A. V. Oppenheim, R. W. Schafer	Discrete-Time Signal Processing, 3rd ed.	2009	Prentice Hall	English
P. Flandrin	Explorations in Time-Frequency Analysis	2018	Cambridge University Press	English
Proakis, J.G., Manolakis, D.G.	Digital Signal Processing : Principles, Algorithms, Applications	1996	Prentice Hall, New Jersey	English