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Signal analysis

General data

Course ID:	1100-2BF05
Erasmus code / ISCED:	13.201 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0533) Physics The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Signal analysis
Name in Polish:	Analiza sygnałów
Organizational unit:	Faculty of Physics
Course groups:	APBM - Medical Physics; 2nd year courses APBM - Neuroinformatics; 2nd year courses
Course homepage:	https://brain.fuw.edu.pl/edu/index.php/Analiza_sygnałów_-_wykład
ECTS credit allocation (and other scores):	4.00 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. view allocation of credits
Language:	Polish
Type of course:	obligatory courses
Prerequisites (description):	Required credits from the following classes, conducted at the Faculty of Physics: 1. Information and Communication Technologies (Technologie informacyjne i komunikacyjne), with 45 hours of practical exercises in Python programming 2. Statistical Inference (Wnioskowanie Statystyczne)
Mode:	Classroom
Short description:	Basics of the classical (spectral) and contemporary (wavelets, time-frequency) signal analysis, based upon examples from EEG and BCI.
Full description:	Basic principles of the classical (spectral) and contemporary (wavelets, time-frequency) analysis of signals: - Linear time invariant systems (LTI) - Fourier series and Fourier transform - Stochastic and autoregressive (AR) time series, power spectrum estimation. Convolution theorem. - Sampling digital signals - Nyquist theorem, aliasing. - Uncertainty principle in signal analysis, spectrogram, Wigner transform, wavelets, adaptive approximations (matching pursuit algorithm) - briefly: multivariate signal analysis (PCA, ICA, MVAR) - EEG, ERD/ERS, BCI
Bibliography:	Skrypt "Analiza sygnałów" in Polish: https://brain.fuw.edu.pl/edu/index.php/Analiza_sygna%c5%82%c3%b3w_-_wyk%c5%82ad Matching Pursuit and Unification in EEG Analysis https://us.artechhouse.com/Matching-Pursuit-and-Unification-in-EEG-Analysis-P539.aspx Svarog software http://svarog.pl
Learning outcomes:	having completed the course, student: - understands the links between basic operations in time and frequency - can choose a proper method of signal analysis and properly interpret the results
Assessment methods and assessment criteria:	Written exam in the lecture hall: open questions and single choice test. Positive marks from the lecture (as above) AND practical exercises are required to pass.
Practical placement:	none

Classes in period "Winter semester 2023/24" (past)

Time span:	2023-10-01 - 2024-01-28	Selected timetable range: weekly course term Navigate to timetable MO TU W CW CW TH FR WYK
Type of class:	Classes, 30 hours, 80 places more information Lecture, 30 hours, 80 places more information
Coordinators:	Piotr Durka
Group instructors:	Piotr Biegański, Piotr Durka, Jarosław Żygierewicz
Students list:	(inaccessible to you)
Examination:	Course - Examination Lecture - Examination

Classes in period "Winter semester 2024/25" (future)

Time span:	2024-10-01 - 2025-01-26	Selected timetable range: weekly course term Navigate to timetable MO TU W CW CW TH FR WYK
Type of class:	Classes, 30 hours, 80 places more information Lecture, 30 hours, 80 places more information
Coordinators:	Piotr Durka
Group instructors:	Piotr Biegański, Piotr Durka, Jarosław Żygierewicz
Students list:	(inaccessible to you)
Examination:	Course - Examination Lecture - Examination

Course descriptions are protected by copyright.
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