B_ZPS Signal processing

Institute of Technology and Business in České Budějovice
winter 2025
Extent and Intensity
1/2. 4 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Ing. Robert Frischer, Ph.D. (seminar tutor)
doc. Ing. Ivo Špička, Ph.D. (seminar tutor)
Guaranteed by
doc. Ing. Ivo Špička, Ph.D.
Department of Applied Technologies and Materials Research – Faculty of Technology – Rector – Institute of Technology and Business in České Budějovice
Supplier department: Department of Applied Technologies and Materials Research – Faculty of Technology – Rector – Institute of Technology and Business in České Budějovice
Timetable of Seminar Groups
B_ZPS/P01: Tue 12:10–12:55 I102, R. Frischer, I. Špička
B_ZPS/S01: Thu 14:50–16:20 I102, R. Frischer, I. Špička
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives supported by learning outcomes
The aim of the course is to introduce students to the basic elements, principles and procedures of signal processing of both analogue and digital. The course provides a theoretical basis for signal processing in modern digital control and communication technology. The course focuses mainly on theoretical knowledge, measurement and analysis of analogue signals together with processing of digital signals.
Learning outcomes
The student is able to analyse, process and evaluate commonly occurring signals in technical practice.
Syllabus
  • 1. Introduction to signal processing (Overview and importance of signal processing, Historical development and key milestones, Applications practical applications and case studies). 2. Fundamentals of Signal Theory (Classification of signals-analog, digital, discrete, continuous, Basic signal operations. Addition, multiplication, scaling, Time and frequency analysis of signals). 3. Transformation of analog signal to digital signal (basic algorithms of digital signal modulation).
  • 4. Sampling and quantization (Principles of sampling, Quantum errors and their minimization, Signal reconstruction and interpolation).
  • 5. Systems and their properties (Analysis of linear and nonlinear systems, Time and frequency characteristics, System stability and impulse response).
  • 6. Overview of integral transforms, especially Laplace and Fourier transforms (Theory and applications of Fourier transforms, Fourier series and continuous signal transforms, Computational aspects of DFT and FFT).
  • 7. Analog signal filtering (Design of analog filters, Basic types of frequency filters (Low-pass, High-pass, Band-pass)).
  • 8. Digital signal filtering (Design of digital filters).
  • 9. Methods and techniques of digital signal filtering with FIR filters.
  • 10. Methods and methods of digital signal filtering with IIR filters.
  • 11. Vibration processing and analysis (Vibration measurement, Modal frequency and shape analysis, Spectrum analysis, Modal analysis).
  • 12. Image signal processing (Digital Image Fundamentals, Object Recognition and Machine Vision, Edge detectors, Binarization and its methods).
  • 13. Signal frequency filtering.
  • 14. Advanced signal processing methods (Statistical methods of signal processing).
Literature
    required literature
  • MACHÁČEK, Zdeněk a NEVŘIVA, Pavel. Modulované signály: učební text. Vyd. 1. Ostrava: Vysoká škola báňská - Technická univerzita, 2012. ISBN 978-80-248-2600-4.
  • PRCHAL, Josef a ŠIMÁK, Boris. Digitální zpracování signálů v telekomunikacích. Vyd. 1. Praha: Vydavatelství ČVUT, 2000. ISBN 80-01-02149-1.
    recommended literature
  • NEVŘIVA, Pavel. Analýza signálů a soustav. Praha: BEN - technická literatura, 2000. ISBN 80-7300-004-0.
  • SMÉKAL, Zdeněk. Systémy a signály: 1D a 2D diskrétní a číslicové zpracování. Praha: Sdělovací technika, 2013. ISBN 978-80-86645-23-0.
Forms of Teaching
Lecture
Seminar
Student Workload
ActivitiesNumber of Hours of Study Workload
Daily StudyCombined Study
Attendance on Lectures13 
Attendance on Seminars/Exercises/Tutorial/Excursion26 
Total:390
Assessment Methods and Assesment Rate
Test – mid-term 30 %
Test – final 70 %
Exam conditions
To successfully complete the course, you must achieve a cumulative total of and final assessment of at least 70% under the conditions set out below. 30 points can be obtained in the continuous assessment, i.e. 30%. In the final assessment, the following can be achieved a total of 70 points, i.e. 70 %. Intermediate evaluation Intermediate test - 30 points (i.e. 30 %) Final assessment Final test - 70 points (i.e. 70%)
Language of instruction
Czech
Teacher's information
A full-time student is obliged to attend contact classes, i.e. everything except lectures, to meet the mandatory 70% attendance. A 100 – 90, B 89.99 – 84, C 83.99 – 77, D 76.99 – 73, E 72.99 – 70, FX 69.99 – 30, F 29.99 – 0.
  • Enrolment Statistics (recent)
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