Course title | Digital signal processing |
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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, Compulsory-optional |
Form of instruction | Face-to-face |
Work placements | This is not an internship |
Recommended optional programme components | None |
Lecturer(s) |
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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.
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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.
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Assessment methods and criteria |
Oral examination, Written examination
Excercise attendance, to work laboratory reports. |
Recommended literature |
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Study plans that include the course |
Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
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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 |