Course: Digital signal processing

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Course title Digital signal processing
Course code KERS/IDIZE
Organizational form of instruction Lecture + Tutorial
Level of course Bachelor
Year of study 3
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Marek Josef, Ing. CSc.
  • Pidanič Jan, doc. Ing. Ph.D.
  • Bezoušek Pavel, prof. Ing. CSc.
Course content
Introduction to digital signal processing (DSP), incorporation into studiing programme, advantages, disadvantages, signal classification, signal properties. AD and DA converters as a part of DSP systems, principles, basic characteristics, examples Discrete in time, discrete in amplitude signals, periodic signal decomposition, frequency spectra before and after sampling, sampling period and amplitude resolution needs for non distorted transmition of discretized signal. Discretization by rounding and cutting, quantization error determination by probabbility theory tools. Direct and backward Fourier transform as a limit case of Fourier series decomposition, amplitude and phase spektrum. Other signal characteristics - mean value, power, energie, autocorrelation, correlation, Linear time-invariant systems - basic systems for DSP. System response evaluation for general input, impulse and unite step response, convolution, Digital filters, sorts and realization. Finite impulse response digital filters. Infinite impulse response digital filters. Discrete Fourier transform and FFT usage for filter realization.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Laboratory work
Learning outcomes
To acquaint students with basics of digital signals processing.
Elementary knowledge from the field of DSP.
Prerequisites
Knowledge of mathematics from first two years of bachelor studies.

Assessment methods and criteria
Oral examination, Written examination

Excercise attendance, to work laboratory reports.
Recommended literature
  • Davídek, V., Sovka, P. Číslicové zpracování signálu a implementace. ČVUT.
  • PRCHAL, J., ŠIMÁK, B. Digitální zpracování signálů v telekomunikacích. ČVUT Praha, 2000.
  • Uhlíř J., Sovka P. Číslicové zpracování signálu a informací, Skripta ČVUT.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Communication and Microprocessor Technology (2016) Category: Electrical engineering, telecommunication and IT 3 Recommended year of study:3, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Process Control (2015) Category: Special and interdisciplinary fields 3 Recommended year of study:3, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Communication and Microprocessor Technology (2015) Category: Electrical engineering, telecommunication and IT 3 Recommended year of study:3, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Communication and Microprocessor Technology (2014) Category: Electrical engineering, telecommunication and IT 3 Recommended year of study:3, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Communication and Microprocessor Technology (2013) Category: Electrical engineering, telecommunication and IT 3 Recommended year of study:3, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Process Control (2016) Category: Special and interdisciplinary fields 3 Recommended year of study:3, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Process Control (2013) Category: Special and interdisciplinary fields 3 Recommended year of study:3, Recommended semester: Winter
Faculty: Faculty of Electrical Engineering and Informatics Study plan (Version): Process Control (2014) Category: Special and interdisciplinary fields 3 Recommended year of study:3, Recommended semester: Winter