| Course Unit Code | 440-2213/01 |
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| Number of ECTS Credits Allocated | 5 ECTS credits |
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| Type of Course Unit * | Compulsory |
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| Level of Course Unit * | First Cycle |
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| Year of Study * | Second Year |
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| Semester when the Course Unit is delivered | Winter Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| SKA109 | Ing. Jan Skapa, Ph.D. |
| Summary |
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The course focuses on fundamental principles and methods of signal processing during its transmission through the communication chain. Students will learn the concepts of frequency, spectrum of signal and their meanings.
Furthermore, they will learn basic signal transforms and their influence on the spectrum. They will learn the meaning of Fourier series, Fourier transform, window functions and Short-time Fourier transform. They will learn the principles of 1D and 2D signals sampling and phenomena that occur during sampling (aliasing, leakage, moiré). They will learn the principles of 1D and 2D discrete Fourier transform and Discrete cosine transform. Furthermore, students will learn two-dimensional Fourier transform and its importance for optical imaging in optical communications. At the end of the course students will be introduced to the concept of kepstrum and its use in applications of speech signal processing (speech to text), speaker recognition, text to speech. |
| Learning Outcomes of the Course Unit |
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| The aim of the course is to teach students the basic methods and principles of 1D, 2D and multidimensional signal processing in their analysis and transmission by communication transmission chain. Attention is paid to both model (artificial) and real signal (speech signals, real images). Students will learn what tools can be used to analyze and process single and multidimensional signals. They will learn, how to compare those tools to each other in terms of their usability in specific applications. Then, students will be able to apply these tools in a specific case, critically evaluate, analyze and present the results. |
| Course Contents |
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1. 1D signal and its waveform in time. Signal classification - deterministic x stochastic; stationary x nonstationary. Basic signal transformations.
2. Signal spectrum - Fourier series, Fourier transform.
3. Signal spectrum - FFT, spectrogram.
4. Analog to digital signal conversion; Sampling, quantization, coding. Signal sampling; Aliasing; Leakage. Aliasing and its effect on the sound signal.
5. Signal filtering. Filters.
6. Convolution of 2 signals. Filtering as convolution.
7. 2D signals and their shape in space (image; surf). Computer image representation, 3D RGB matrix. RGB, CMY (K), YCbCr. Aliasing and its expression in the image; Moire.
8. Spectrum of 2D signal (image) - FFT, DCT. 2D signal filtering. Edge detectors.
9. Modulation by analog signals (AM, FM, PM) - modulation principle, modulation parameters, spectrum of modulated signal.
10. Pulse modulation (PAM, PWM, PPM) - the principle of modulation and its use. Signal sampling; sampling theorem.
11. Pulse code modulation PCM.
12. Modulation by digital signals (keying - ASK, FSK, PSK). Multisymbol modulations (QPSK, QAM).
13. Multi-carrier modulations (OFDM, CP-OFDM, UF-OFDM, SC-QAM / O-QAM ....)
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| Recommended or Required Reading |
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| Required Reading: |
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[1] IFEACHOR, Emmanuel C., JERVIS, Barrie W. [i]Digital signal processing: a practical approach.[/i] 2nd ed. Harlow: Prentice Hall, 2002. ISBN 0-201-59619-9.
[2] GONZALEZ, Rafael C., WOODS, Richard Eugene, EDDINS Steven L. Digital image processing using MATLAB. 2nd ed. USA: Gatesmark Publishing, c2009. ISBN 978-0-9820854-0-0.
[3] BLANCHET, Gérard, CHARBIT, Maurice. [i]Digital signal and image processing using MATLAB.[/i] Přeložil Antoine HERVIER. London: ISTE, 2006. ISBN 1-905209-13-4. |
[1] UHLÍŘ, Jan; SOVKA, Pavel. [i]Číslicové zpracování signálů.[/i] Vyd. 2. přeprac. Praha: Vydavatelství ČVUT, 2002. ISBN 80-01-02613-2.
[2] PRCHAL, Josef, ŠIMÁK, Boris. [i]Digitální zpracování signálů v telekomunikacích.[/i] Praha: Vydavatelství ČVUT, 2001dotisk. ISBN 80-01-02149-1.
[3] IFEACHOR, Emmanuel C., JERVIS, Barrie W. [i]Digital signal processing: a practical approach.[/i] 2nd ed. Harlow: Prentice Hall, 2002. ISBN 0-201-59619-9. |
| Recommended Reading: |
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[1] ANTONIOU, Andreas. [i]Digital Filtres, analysis, design and applications.[/i] 1st Edition. McGraw-Hill, 1993. ISBN-13: 978-0071454247. ISBN-10: 0071454241.
[2] GONZALEZ, Rafael C., WOODS, Richard Eugene. [i]Digital image processing.[/i] 3rd ed. Upper Saddle River: Pearson Prentice Hall, c2008. ISBN 978-0-13-168728-8.
[3] MCANDREW, Alasdair. [i]Introduction to digital image processing with MATLAB.[/i] Boston: Thomson Course Technology, c2004. ISBN 0-534-40011-6. |
[1] PRCHAL, Josef. [i]Signály a soustavy.[/i] Vyd. 2. Praha: České vysoké učení technické, 1992. ISBN 80-01-00831-2.
[2] DAVÍDEK, Vratislav, LAIPERT, Miloš, VLČEK, Miroslav. [i]Analogové a číslicové filtry.[/i] 2. vyd. Praha: Nakladatelství ČVUT, 2006, dotisk. ISBN 80-01-03026-1.
[3] ANTONIOU, Andreas. [i]Digital Filtres, analysis, design and applications.[/i] 1st Edition. McGraw-Hill, 1993. ISBN-13: 978-0071454247. ISBN-10: 0071454241.
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| Planned learning activities and teaching methods |
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| Lectures, Individual consultations, Tutorials, Experimental work in labs |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Credit and Examination | Credit and Examination | 100 (100) | 51 |
| Credit | Credit | 36 | 20 |
| Examination | Examination | 64 | 15 |