Digital Signal Processing Algorithms | Faculty of Technical Sciences

Subject: Digital Signal Processing Algorithms (17.DE111)

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

Type of studies	Title
Doctoral Academic Studies	Mathematics in Engineering (Year: 1, Semester: Winter)
Doctoral Academic Studies	Mechatronics (Year: 1, Semester: Winter)
Doctoral Academic Studies	Mathematics in Engineering (Year: 2, Semester: Winter)
Doctoral Academic Studies	Power, Electronic and Telecommunication Engineering (Year: 1, Semester: Winter)
Doctoral Academic Studies	Biomedical Engineering (Year: 1, Semester: Winter)

General information:

Category	Scientific-professional
Scientific or art field	Telecommunications and Signal Processing
ECTS	10

As a main course for the doctoral studies students whose major choice is digital signal processing, this course has an educational objective to provide students with all the necessary knowledge on digital signal processing and its application. It is necessary to consolidate the knowledge from graduate studies regarding digital signals in both time and frequency domains, digital filters and methods for their design. The objective of the course is to increase and deepen students` knowledge by introducing them to the advanced DSP concepts such as adaptive and multirate systems.

Main algorithms for signal processing in discrete time and the most important transformations of discrete signals, including Fast Fourier transform algorithms. Based on the acquired knowledge, students will be able to competently analyse the problem, select an appropriate digital filter class and optimal design method, design with the usage of adequate software tools and implementation on a general purpose processor or DSP platform. Students will be introduced to spectrum estimation, as well as adaptive systems, and they will gain experience with appropriate programming environments.

•Practical aspects of A/D and D/A conversion. •Transformations of discrete signals (ZT, FTD, DFT). •Fast FT and fast convolution. •Examples of digital FIR and IIR filters. •Digital filter design (with the introduction to Matlab DSP Toolbox). •Multirate systems. •Adaptive systems. •Spectrum estimation (with the introduction to Matlab Simulink). •One part of the course is conducted through individual research and study work in the field of DSP algorithms. The study and research work is based on active study of primary scientific sources, experiments and statistic data processing, numerical simulations, and writing a paper in the narrow scientific area within the topic of the Doctoral dissertation.

The course is a combination of lectures and tutorials. Individual students' work is supported by the web portal of the Chair for Telecommunications and Signal Processing, where a number of on-line exercises is available. At the Laboratory for Digital Signal Processing at the Faculty, students obtain practical experience in the work with DSP software tools and development environments, where they implement DSP algorithms. Some of the obtained knowledge is tested during the semester in the form of simple project tasks and homework.

Authors	Title	Year	Publisher	Language
Mitra, S.K.	Digital Signal Processing, A Computer-Based Approach	2001	McGraw-Hill, New York	English
Proakis, J.G., Manolakis, D.G.	Digital Signal Processing : Principles, Algorithms, Applications	1996	Prentice Hall, New Jersey	English
E. Ifeachor and B. Jervis	Digital Signal Processing – A Practical Approach	1993	Prentice Hall	English