Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: Digital Signal Processing (17.EK314)

Native organizations units: Department of Power, Electronic and Telecommunication Engineering

Type of studies	Title
Undergraduate Academic Studies	Measurement-Information Technologies and Control Engineering (Year: 2, Semester: Summer)
Undergraduate Academic Studies	Measurement-Information Technologies and Control Engineering (Year: 3, Semester: Summer)

General information:

Category	Scientific-professional
Scientific or art field	Telecommunications and Signal Processing
ECTS	7

As an introductory course in the series of course related to digital processing of certain types of signals, this course has an educational objective to offers students fundamental knowledge about digital processing and its application. The objective is to introduce students to digital signals and systems for their processing, as well as fundamentals of spectrum estimation and certain practical aspects of A/D and D/A conversion.

Students are introduced to the basic algorithms of the signal processing in the discrete time and to the most important transforms of discrete signals, including Fast Fourier transform. In practical problem solving sessions as well as lab work students gain practical experience with Matlab DSP Toolbox, where they analyze discrete-time signals, properties of their transforms, and get fundamental knowledge needed for the design of frequency selective systems. The students also learn about basic problems and algorithms for spectrum estimation.

• Practical aspects of A/D and D/A conversion and the sampling theorem. • Transform of discrete signals and connections between them (ZT, FTD, DFT). • Fast FT and fast convulsion. • Examples of digital FIR and IIR filter and their characteristics. • Basics of spectrum estimation (parametric and non-parametric methods).

The entire course of lectures (3 hours per week) is synchronized with practical problem solving sessions and lab work. Lectures rely on PowerPoint presentations available to the students in the .pdf format. At practical problem solving sessions students solve problems related to signal properties, their transforms as well as basic processing. The course includes lab work in the Computer Center of FTS, where students gain practical experience working with DSP software tools including Matlab DSP Toolbox. Practice preparation as well as homework are supported by the Web portal of the Chair for Telecommunications and Signal Processing, through specially designed interactive tutorials. Acquired theoretical knowledge is tested during the semester in the form of brief tests and a colloquium, while the final examination revisits the entire course material.