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13M041DPS - Digital Signal Processors

Course specification
Course title Digital Signal Processors
Acronym 13M041DPS
Study programme Electrical Engineering and Computing
Module Applied Mathematics, Audio and Video Communications, Audio and Video Technologies, Biomedical and Environmental Engineering, Biomedical and Nuclear Engineering, Computer Engineering and Informatics, Electronics, Electronics and Digital Systems, Energy Efficiency, Information and Communication Technologies, Microwave Engineering, Nanoelectronics and Photonics, Power Systems - Networks and Systems, Power Systems - Renewable Energy Sources, Power Systems - Substations and Power Equipment, Signals and Systems, Software Engineering, System Engineering and Radio Communications
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    Condition Digital signal processing
    The goal In this course students should familiarize with the basic architectures, tools for software and hardware design, and implementations of signal processing systems with digital signal processors or programmable FPGA chips.
    The outcome After this course students should be able to design signal processing systems using digital signal processors or programmable FPGA chips.
    Contents
    Contents of lectures Architecture of integrated digital signal processors. Tools for software and hardware design. Realization of filtering and DFT algorithms on digital signal processor. Hardware realization of signal processing algorithms on FPGA chips. Multirate signal processing systems and their application.
    Contents of exercises Use of design tools for digital signal processors. Use of design tools for FPGA chips.
    Literature
    1. Miodrag Popović, Digital signal processors, ebook available at http://tnt.etf.bg.ac.rs
    2. U. Meyer-Baese, Digital Signal Processing Using Field Programmable Gate Arrays, 3rd Ed., Springer Verlag, 2007
    3. Lars Wanhammar, DSP integrated circuits, Academic Press, 1999
    4. Miodrag Popović, Digital signal processing, Academic mind, 2003.
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    2 2
    Methods of teaching Lectures, laboratory work, design projects.
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 0 Test paper 0
    Practical lessons 0 Oral examination 50
    Projects
    Colloquia 0
    Seminars 50