Digital signal processing WM-I-CPS
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.
(in Polish) Dyscyplina naukowa, do której odnoszą się efekty uczenia się
(in Polish) E-Learning
Term 2023/24_Z: (in Polish) E-Learning (pełny kurs) z podziałem na grupy | Term 2019/20_Z: (in Polish) E-Learning (pełny kurs) z podziałem na grupy | Term 2021/22_Z: (in Polish) E-Learning (pełny kurs) z podziałem na grupy | Term 2020/21_Z: (in Polish) E-Learning (pełny kurs) z podziałem na grupy | Term 2022/23_Z: (in Polish) E-Learning (pełny kurs) z podziałem na grupy | Term 2024/25_Z: (in Polish) E-Learning |
(in Polish) Grupa przedmiotów ogólnouczenianych
(in Polish) Opis nakładu pracy studenta w ECTS
Term 2023/24_Z: 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
| Term 2022/23_Z: (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 |
Subject level
Learning outcome code/codes
Type of subject
Term 2023/24_Z: optional with limited choices | Term 2024/25_Z: obligatory |
Preliminary Requirements
Course coordinators
Term 2023/24_Z: | Term 2019/20_Z: | Term 2021/22_Z: | Term 2020/21_Z: | Term 2022/23_Z: | Term 2024/25_Z: |
Learning outcomes
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 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.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: