Digital signal processing
General data
Course ID: | WM-I-CPS |
Erasmus code / ISCED: | (unknown) / (unknown) |
Course title: | Digital signal processing |
Name in Polish: | Cyfrowe przetwarzanie sygnałów |
Organizational unit: | Faculty of Mathematics and Natural Sciences. School of Exact Sciences. |
Course groups: | |
ECTS credit allocation (and other scores): |
6.00
|
Language: | Polish |
(in Polish) Dyscyplina naukowa, do której odnoszą się efekty uczenia się: | information and communication technology |
Subject level: | advanced |
Learning outcome code/codes: | lecture I1_W14, I1_U18 lab I1_W14, I1_U18 |
Preliminary Requirements: | mathematical subjects and Algorithms and Data Structures |
Full description: |
The aim of the course is to familiarize the student with the basic concepts and techniques of signal processing. The student will learn, among other algorithms of frequency analysis of signals and principles of designing classic analog and digital filters. Selected applications of signal processing will be presented. The lecture will present a mathematical description of digital systems, Z transformation, system transfer function, frequency response, impulse response, convolution of two signals, digital filter structures, construction of a digital filter based on the arrangement of zeros and poles of the transfer function. Frequency analysis techniques will be presented: window functions, frequency resolution, amplitude resolution, interpolated DFT value, spectrogram (short time Fourier transform). Digital filter design techniques will be presented. During laboratory classes, CPS libraries and other programming tools will be used in projects. |
Bibliography: | |
Efekty kształcenia i opis ECTS: |
LECTURE Student W1 - knows and understands the mathematical description of digital signals and signal processing systems (I1_W14), W2 - knows and understands the basics of frequency analysis of signals (I1_W14), W3 - knows and understands the definitions and principles of designing classic analog and digital filters (I1_W14), U1 - can indicate the applications of signal processing (I1_U18). LAB Student W1 - knows the basic concepts of signal analysis such as sampling, convolution, frequency analysis, histogram (I1_W14), U1 - can use basic algorithms for frequency analysis of signals (I1_U18), U2 - can design selected digital filters (I1_U18), |
Assessment methods and assessment criteria: |
For all learning outcomes, the following assessment criteria are adopted for all forms of verification: grade 5: fully achieved (no obvious shortcomings), grade 4.5: achieved almost fully and criteria for awarding a higher grade are not met, grade 4: largely achieved and the criteria for a higher grade are not met, grade 3.5: largely achieved with a clear majority of positives and the criteria for granting a higher grade are not met, grade 3: achieved for most of the cases covered by the verification and criteria for a higher grade are not met, grade 2: not achieved for most of the cases covered by the verification. |
Classes in period "Winter semester 2021/22" (past)
Time span: | 2021-10-01 - 2022-01-31 |
Navigate to timetable
MO TU W TH LAB
WYK
FR |
Type of class: |
Laboratory, 30 hours
Lectures, 30 hours
|
|
Coordinators: | Jerzy Cytowski | |
Group instructors: | Jerzy Cytowski, Jakub Grzeszczak | |
Students list: | (inaccessible to you) | |
Examination: | examination | |
(in Polish) E-Learning: | (in Polish) E-Learning (pełny kurs) z podziałem na grupy |
Classes in period "Winter semester 2022/23" (past)
Time span: | 2022-10-01 - 2023-01-31 |
Navigate to timetable
MO TU WYK
W TH LAB
FR |
Type of class: |
Laboratory, 30 hours
Lectures, 30 hours
|
|
Coordinators: | Jerzy Cytowski, Dorota Dąbrowska | |
Group instructors: | Jerzy Cytowski, Jakub Grzeszczak | |
Students list: | (inaccessible to you) | |
Examination: | examination | |
(in Polish) E-Learning: | (in Polish) E-Learning (pełny kurs) z podziałem na grupy |
|
(in Polish) Opis nakładu pracy studenta w ECTS: | (in Polish) Szacunkowy nakład pracy studenta: WYKŁAD uczestnictwo w zajęciach 30 h konsultacje z prowadzącym 2 h przygotowanie do zajęć 10 h przygotowaie do weryfikacji 35h razem 77 h, co odpowiada 3 ECTS LABORATORIA uczestnictwo w zajęciach 30 h konsultacje z prowadzącym 2 h przygotowanie do zajęć 10 h przygotowaie do weryfikacji 35h razem 77 h, co odpowiada 3 ECTS |
Classes in period "Winter semester 2023/24" (past)
Time span: | 2023-10-01 - 2024-01-31 |
Navigate to timetable
MO TU WYK
W TH LAB
FR |
Type of class: |
Laboratory, 30 hours
Lectures, 30 hours
|
|
Coordinators: | Jerzy Cytowski, Dorota Dąbrowska | |
Group instructors: | Jerzy Cytowski, Jakub Grzeszczak | |
Students list: | (inaccessible to you) | |
Examination: | examination | |
(in Polish) E-Learning: | (in Polish) E-Learning (pełny kurs) z podziałem na grupy |
|
(in Polish) Opis nakładu pracy studenta w ECTS: | Estimated student workload: LECTURE participation in classes 30 hours consultations with the instructor 2 hours preparation for classes 10 hours preparation for verification 35 hours a total of 77 hours, which corresponds to 3 ECTS LABORATORIES participation in classes 30 hours consultations with the instructor 2 hours preparation for classes 10 hours preparation for verification 35 hours a total of 77 hours, which corresponds to 3 ECTS |
|
Type of subject: | optional with limited choices |
|
(in Polish) Grupa przedmiotów ogólnouczenianych: | (in Polish) nie dotyczy |
|
Full description: |
Copyright by Cardinal Stefan Wyszynski University in Warsaw.