After gaining fundamental knowledge about digital signal processing in the course of the same name, this course objective is to extend and deepen the knowledge of students through introduction to the more advanced algorithms and applications of digital signal processing. The goal is to get introduced to the designing methods of optimal filters and adaptive systems which are increasingly used in the practice.

Students get introduced to the theoretical limits and designing methods of optimal digital filters and adaptive systems in the lectures. They will learn to choose optimal structures for the realization and to design complex systems for digital signal processing. The will know estimation methods of the signal spectrum. Greater emphasis of this course is on the Practice in the Laboratory for digital signal processing at the Faculty of Technical Sciences, where students will learn to use specialized software for digital filter design.

Methods of design and selection of structure for the realization of optimal digital FIR and IIR filters. Multi-rate systems. Adaptive systems. Spectrum estimation (while being introduced to the Matlab Simulink)

The whole course of lectures (2 hours per week) is continually followed by the synchronized auditory (1 hour) and computer practice (2 hours per week). Lectures are held by the professor using the PowerPoint presentations available to the students in the .pdf format. Presentations with animations illustrate critical details from the lectures. Problems are solved in the auditory practice. The whole course is followed by the Laboratory practice for digital signal processing at the Faculty of Technical Sciences, where students gain practical experience working on the software tools for digital signal processing. Practice preparation and preparation of homework assignments is done through the Web portal of the Department using specially designed on-line exercises. Part of the acquired theoretical knowledge is tested during the semester in the form of test (colloquiums), while practical work is verified through doing and defending short project and homework assignments. Those are all examination prerequisites, and in the final examination the entire acquired knowledge in this course is tested.