Digital signal processing I-NM3O>DSP
The course covers topics related to the analysis, processing, and interpretation of signals in digital technology. Its goal is to familiarize students with both theoretical and practical aspects of digital signal processing. Divided into two main parts, the first focuses on deterministic signals, which are well-defined and predictable. The second part deals with random signals, whose nature is based on probabilistic random variables, making their analysis and processing more challenging.
Students will acquire the necessary skills to design and implement signal processing algorithms using mathematical tools and numerical techniques. Laboratory exercises will allow participants to develop analytical skills and apply their acquired knowledge to practical engineering problems.
Course coordinators
<b>Final assessment</b>
<b>Prerequisites</b>
<b>Basic literature</b>
<b>Supplementary literature</b>
<b>Other information</b>
Learning outcomes
Number (Symbol) | Learning Outcomes for the Course Module A student who has completed the course module knows and understands/can/is ready to | Reference to Program Learning Outcomes |
KNOWLEDGE | ||
IZM.17_W01 | Has extended and in-depth knowledge in selected areas of mathematics, including set theory, discrete and applied mathematics, and mathematical methods for analyzing and synthesizing digital signal processing algorithms. | IF2A_W01 |
IZM.17_W02 | Has broad knowledge of information analysis and processing methods used in computational intelligence and knowledge engineering. | IF2A_W05 |
IZM.17_W03 | Knows advanced concepts and programming tools related to signal processing. | IF2A_W09 |
SKILLS | ||
IZM.17__U01 | Has the ability to obtain information from literature, online sources, databases, and other resources; can analyze, interpret, and filter information to draw conclusions, formulate opinions, and apply it to the development of IT systems. | IF2A_U01 |
IZM.17__U02 | Can create a mathematical model in the field of computer science and perform an analysis of its formal description. | IF2A_U07 |
IZM.17__U03 | Is able to effectively use various methods of data exploration and manipulation for signal processing. | IF2A_U22 |
SOCIAL COMPETENCIES | ||
IZM.17_K01 | Is capable of thinking and acting creatively and entrepreneurially. | IF2A_K06 |
Assessment criteria
Number (Symbol) | Learning Outcomes for the Course Module A student who has completed the course module knows and understands/can/is ready to | Reference to Forms of Classes | Method of Verification and Assessment of Learning Outcome |
KNOWLEDGE | |||
IZM.17_W01 | Has extended and in-depth knowledge in selected areas of mathematics, including set theory, discrete and applied mathematics, and mathematical methods for analyzing and synthesizing digital signal processing algorithms. | lecture, laboratory | tests and assignments performed in class and as homework |
IZM.17_W02 | Has broad knowledge of information analysis and processing methods used in computational intelligence and knowledge engineering. | lecture, laboratory | tests and assignments performed in class and as homework |
IZM.17_W03 | Knows advanced concepts and programming tools related to signal processing. | lecture, laboratory | tests and assignments performed in class and as homework |
SKILLS | |||
IZM.17__U01 | Has the ability to obtain information from literature, online sources, databases, and other resources; can analyze, interpret, and filter information to draw conclusions, formulate opinions, and apply it to the development of IT systems. | lecture, laboratory | tests and assignments performed in class and as homework |
IZM.17__U02 | Can create a mathematical model in the field of computer science and perform an analysis of its formal description. | lecture, laboratory | tests and assignments performed in class and as homework |
IZM.17__U03 | Is able to effectively use various methods of data exploration and manipulation for signal processing. | lecture, laboratory | tests and assignments performed in class and as homework |
SOCIAL COMPETENCIES | |||
IZM.17_K01 | Is capable of thinking and acting creatively and entrepreneurially. | laboratory | assessed continuously during classes |
Bibliography
Basic:
1. J. Szabatin, Podstawy teorii sygnałów, Wydawnictwa Komunikacji i Łączności, Warszawa, 2000
2. K. Wesołowski, Podstawy cyfrowych systemów telekomunikacyjnych, Wydawnictwa Komunikacji i Łączności, Warszawa, 2003
3. M. Pasko, J. Walczak, Teoria sygnałów, Wydawnictwo Politechniki Śląskiej, Gliwice, 2003
4. C. Marven, G. Ewers, Zarys cyfrowego przetwarzania sygnałów, Wydawnictwa Komunikacji i Łączności, Warszawa, 1999
5. R. G. Lyons, Wprowadzenie do cyfrowego przetwarzania sygnałów, Wydawnictwa Komunikacji i Łączności, Warszawa, 1999
6. R. G. Lyons, Wprowadzenie do cyfrowego przetwarzania sygnałów, Wydawnictwa Komunikacji i Łączności, Warszawa, 2011
7. R. G. Lyons, Wprowadzenie do cyfrowego przetwarzania sygnałów, Wydawnictwa Komunikacji i Łączności, Warszawa, 2011
8. T. Zieliński, Od teorii do cyfrowego przetwarzania sygnałów, Wydawnictwa AGH, Kraków, 2002
9. T. Zieliński, Od teorii do cyfrowego przetwarzania sygnałów, Wydawnictwo AGH, Kraków, 2011
10. T. Zieliński, Od teorii do cyfrowego przetwarzania sygnałów, Wydawnictwo AGH, Kraków, 2011
11. T. Zieliński, Od teorii do cyfrowego przetwarzania sygnałów, Wydawnictwa AGH, Kraków, 2002
• Auxillary
1. D. Stranneby, Cyfrowe przetwarzanie sygnałów – metody, algorytmy, zastosowania, Wydawnictwo BTC, Warszawa, 2004
2. D. Stranneby, Cyfrowe przetwarzanie sygnałów – metody, algorytmy, zastosowania, Wydawnictwo BTC, Warszawa, 2011
3. D. Stranneby, Cyfrowe przetwarzanie sygnałów – metody, algorytmy, zastosowania, Wydawnictwo BTC, Warszawa, 2011
4. B. Sklar, Digital Communications: Fundamentals and Applications, Prentice Hall, New York, USA, 2001
5. B. Sklar, Digital Communications: Fundamentals and Applications, Prentice Hall, New York, USA, 2001
6. J. Proakis, M. Salehi, Digital Communications, McGraw-Hill Science, New York, USA, 2007
7. B. Sklar, Digital Communications: Fundamentals and Applications, Prentice Hall, New York, USA, 2001
8. J. Proakis, M. Salehi, Digital Communications, McGraw-Hill Science, New York, USA, 2007
9. J. Proakis, M. Salehi, Digital Communications, McGraw-Hill Science, New York, USA, 2007