Duration
39h Th, 13h Pr, 40h Proj.
Number of credits
| Bachelor of Science (BSc) in Engineering | 5 crédits | |||
| Master of Science (MSc) in Biomedical Engineering | 5 crédits |
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
- z-transform. Its properties. Comparison with Laplace Transform.
- Discrete-time (DT) systems. Design of simple systems and filters by pole-zero placement. Finite-impulse response (FIR) filters and infinite-impulse response (IIR) filters. All-pass systems. Minimum-phase systems.
- Sampling of continuous-time (CT) signals.
- Discrete Fourier Transform (DFT). Where it comes from. Why it is useful. How it relates to the DTFS and DTFT. How to use it to compute the other transforms, perhaps approximately: CTFT, DTFT, CTFS, DTFS.
- Fast Fourier Transform (FFT): the fast implementation of the DFT.
- Design of analog filters. Butterworth filters, Chebyshev filters, elliptic filters, Bessel filters. Low-pass, high-pass, band-pass, band-reject. Frequency transformations.
- Design of finite-impulse response (FIR) filters.
- Design of infinite-impulse response (IIR) filters.
- Multirate signal processing (time-permitting).
Learning outcomes of the learning unit
The student will understand fundamental concepts for digital signal processing: mathematical principles, practical limitations, and practical implementations. He will become a critical user of digital signal processing techniques (beyond "cooking recipes"). He will be able to implement digital signal processing in his own work.
Prerequisite knowledge and skills
Calculus, algebra, elements of computer science and applied mathematics, and continuous-time signals and systems.
Planned learning activities and teaching methods
Mode of delivery (face-to-face ; distance-learning)
Face-to-face.
Recommended or required readings
The course notes, slides, and exercise notes will be available on the course's webpage at the beginning of the semester: http://www.montefiore.ulg.ac.be/~sacre/ELEN0071/.
Assessment methods and criteria
The assessment is composed of two grades: a grade for the personal projects (approximately 20% of the final grade) and a grade for the written exam covering theory and exercises (approximately 80% of the final grade).
The projects and the written exam are mandatory. An absence for one of these parts will result in an absence for the course.
Work placement(s)
Organizational remarks
Contacts
Lecturer: Pierre Sacré (p.sacre@uliege.be).
Webpage: http://www.montefiore.ulg.ac.be/~sacre/ELEN0071/.
Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session
Teaching methods implemented : distance-learning
Lectures are pre-recorded and posted online progressively on eCampus.
Lab sessions are pre-recorded and posted online progressively on eCampus.
Homework is submitted online on the Montefiore submission platform.
All students are encouraged to ask short questions via the eCampus forum or by email and to request on-demand videoconferences for more complex questions.
Assessment subjects
The assessment will be about all the topics covered during the lectures and the lab/homework sessions as initially planned.
Assessment methods
The assessment will be organized as an open-book online test on eCampus. The test will be made available according to the date and time provided for in the examination schedule. Students will need to complete the test within the set deadlines.
The test will mainly consist of true/false questions, multiple-choice questions, numeric questions, and short answer questions.
A mock test will be organized in mid-May to identify potential logistic problems and to help students familiarize themselves with this new type of assessment.
Contacts
Pierre Sacré (p.sacre@uliege.be). http://www.montefiore.ulg.ac.be/~sacre/ELEN0071/.
Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session
Assessment subjects
See adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session.
Assessment methods
See adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session.