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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 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.
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
Selected timetable range:
Navigate to timetable
Type of class:
Laboratory, 30 hours more information
Lectures, 30 hours more information
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
Selected timetable range:
Navigate to timetable
Type of class:
Laboratory, 30 hours more information
Lectures, 30 hours more information
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
Selected timetable range:
Navigate to timetable
Type of class:
Laboratory, 30 hours more information
Lectures, 30 hours more information
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:
Course descriptions are protected by copyright.
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