440-2107/01 – Signal Processing Methods in Communication Technologies (ZSK)

Gurantor departmentDepartment of TelecommunicationsCredits4
Subject guarantorIng. Jan Skapa, Ph.D.Subject version guarantorIng. Jan Skapa, Ph.D.
Study levelundergraduate or graduateRequirementChoice-compulsory type A
Year2Semestersummer
Study languageCzech
Year of introduction2019/2020Year of cancellation2024/2025
Intended for the facultiesFEIIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
SKA109 Ing. Jan Skapa, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Part-time Credit and Examination 4+10

Subject aims expressed by acquired skills and competences

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.

Teaching methods

Lectures
Individual consultations
Tutorials
Experimental work in labs
Project work

Summary

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.

Compulsory literature:

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. 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. BLANCHET, Gérard, CHARBIT, Maurice. [i]Digital signal and image processing using MATLAB.[/i] Přeložil Antoine HERVIER. London: ISTE, 2006. ISBN 1-905209-13-4.

Recommended literature:

ANTONIOU, Andreas. [i]Digital Filtres, analysis, design and applications.[/i] 1st Edition. McGraw-Hill, 1993. ISBN-13: 978-0071454247. ISBN-10: 0071454241. 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. MCANDREW, Alasdair. [i]Introduction to digital image processing with MATLAB.[/i] Boston: Thomson Course Technology, c2004. ISBN 0-534-40011-6.

Way of continuous check of knowledge in the course of semester

2 tests 2 projects Oral exam and written test

E-learning

Other requirements

No additional requirements.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Communication transmission chain. Basic types of signals. Spectrum of basic types of signal. Fourier series, Fourier transform. Basic signal transformations and their influence on spectrum. Window functions and their spectral properties. Short time Fourier transform. Spectrogram. 1D and 2D ideal sampling function. Sampling theorem. Reconstruction of signals using ideal lowpass filter. 1D and 2D discrete Fourier transform, discrete cosine transform and their comparison. Filtration and its influence on signal spectrum. Speech band. 2D discrete Fourier transform and its relation to optical systems. Airy disc. Cepstrum and its use in speech signal processing. Fundamentals of speech signal processing (speech to text, speaker recognition, text to speech). Multidimensional signals, their analysis and transmission. Students will proceed from everyday's experience through mathematical modeling to simulations.

Conditions for subject completion

Part-time form (validity from: 2019/2020 Winter semester, validity until: 2024/2025 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 36  20
        Examination Examination 64  15 3
Mandatory attendence participation: 1 unexcused absence is permitted.

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Conditions for subject completion and attendance at the exercises within ISP: Within the framework of the Individual Study Plan (ISP), non-attendance at arranged exercises must always be consulted with the appropriate teacher.

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2024/2025 (B0714A060010) Telecommunication Technology TK P Czech Ostrava 2 Choice-compulsory type A study plan
2024/2025 (B0714A060010) Telecommunication Technology TK K Czech Ostrava 2 Choice-compulsory type A study plan
2023/2024 (B0714A060010) Telecommunication Technology TK K Czech Ostrava 2 Choice-compulsory type A study plan
2023/2024 (B0714A060010) Telecommunication Technology TK P Czech Ostrava 2 Choice-compulsory type A study plan
2022/2023 (B0714A060010) Telecommunication Technology TK P Czech Ostrava 2 Choice-compulsory type A study plan
2022/2023 (B0714A060010) Telecommunication Technology TK K Czech Ostrava 2 Choice-compulsory type A study plan
2021/2022 (B0714A060010) Telecommunication Technology TK P Czech Ostrava 2 Choice-compulsory type A study plan
2021/2022 (B0714A060010) Telecommunication Technology TK K Czech Ostrava 2 Choice-compulsory type A study plan
2020/2021 (B0714A060010) Telecommunication Technology TK P Czech Ostrava 2 Choice-compulsory type A study plan
2020/2021 (B0714A060010) Telecommunication Technology TK K Czech Ostrava 2 Choice-compulsory type A study plan
2019/2020 (B0714A060010) Telecommunication Technology TK P Czech Ostrava 2 Choice-compulsory type A study plan
2019/2020 (B0714A060010) Telecommunication Technology TK K Czech Ostrava 2 Choice-compulsory type A study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction



2022/2023 Summer
2021/2022 Summer
2020/2021 Summer