Print Course syllabus
Course syllabus - Advanced Signal Processing
Scope
7.5 credits
Course code
ELA409
Valid from
Autumn semester 2019
Education level
Second cycle
Progressive Specialisation
A1F (Second cycle, has second-cycle course/s as entry requirements).
Main area(s)
School
School of Innovation, Design and Engineering
Ratified
2019-01-24
Status
This syllabus is not current and will not be given any more
Literature lists
Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.
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Books
Signals and systems
International ed of 2nd revised ed. : Harlow, Essex : Pearson Education Ltd., cop. 2014 - ii, 938 s.
ISBN: 9781292025902 LIBRIS-ID: 14912545
Bioelectromagnetism : principles and applications of bioelectric and biomagnetic fields
New York : Oxford University Press, 1995 - 1 online resource (xxii, 482 p.)
ISBN: 9780199847839 LIBRIS-ID: 12921754
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Books
Signals and systems
International ed of 2nd revised ed. : Harlow, Essex : Pearson Education Ltd., cop. 2014 - ii, 938 s.
ISBN: 9781292025902 LIBRIS-ID: 14912545
Discrete wavelet transform : a signal processing approach
2015
Digital Signal Processing with Matlab Examples, Volume 1 : Signals and Data, Filtering, Non-stationary Signals, Modulation
Singapore : Springer Singapore, 2017 - XXXVII, 622 p. 467 illus., 186 illus. in color.
ISBN: 9789811025341 LIBRIS-ID: 19984596
Digital Signal Processing with Matlab Examples, Volume 2 : Decomposition, Recovery, Data-Based Actions
Singapore : Springer Singapore, 2017 - XXXIX, 913 p. 659 illus., 279 illus. in color.
ISBN: 9789811025372 LIBRIS-ID: 19984597
Digital Signal Processing with Matlab Examples, Volume 3 : Model-Based Actions and Sparse Representation
Singapore : Springer Singapore, 2017 - XVI, 431 p. 201 illus., 80 illus. in color.
ISBN: 9789811025402 LIBRIS-ID: 19984598
Digital signal processing and applications
2. ed. : Oxford : Newnes, 2004 - x, 357 s.
ISBN: 0750663448 LIBRIS-ID: 9621269
Probability and Statistics for Computer Science
Cham : Springer International Publishing, 2018 - XXIV, 367 p. 124 illus., 84 illus. in color.
ISBN: 9783319644103 LIBRIS-ID: 22252084
Bioelectromagnetism : principles and applications of bioelectric and biomagnetic fields
New York : Oxford University Press, 1995 - 1 online resource (xxii, 482 p.)
ISBN: 9780199847839 LIBRIS-ID: 12921754
Bioelectrical signal processing in cardiac and neurological applications
New York : Elsevier, cop. 2005 - vii, 688 s.
ISBN: 0124375529 LIBRIS-ID: 9968183
Objectives
The purpose of the course is to provide students with knowledge, understanding and practical insight of different digital signal processing techniques and how these should be applied on common biosignals to extract features and obtain information.
Learning outcomes
After finished course, the student should:
1. be able to explain the importance of digital signal processing and basic clinical and ambulatory applications.
2. know different types of biosignals, their underlying mechanisms and relevant signal characteristics to extract.
3. have a good understanding of filter design principles and methods.
4. be able to apply appropriate digital signal processing technique to reduce noise, remove artifacts and extract relevant information from measured biosignals.
5. critically evaluate effects and results from different signal processing techniques.
6. understand statistical biosignal properties and be able to identify and apply statistical principles for different applications.
Course content
Common biosignals and their underlying mechanisms, filter design, adaptive filtering, spectral analysis of biosignals, blind-source separation techniques, identification and handling of different types of artifacts, noise reduction, statistical methods in signal processing, multivariate signal analysis, pattern recognition and classification of extracted features, ethical aspects.
Specific requirements
Measurement technique 7.5 credits, Signal processing 7.5 credits, Probability and statistical theory 7.5 credits and Complex Electronic Systems 7.5 credits. In addition, Swedish course B/Swedish course 3 and English course A/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.
Examination
Written examination (TEN1), 4 credits, marks Fail (U) or Pass (G) (examines learning outcomes 1-4)
Project (PRO1), An assignment that is presented with a report and a demonstration of the project, 3.5 credits, marks Fail (U), 3, 4 or 5 (examines learning outcomes 2-6)
A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.
Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.
Grade
Pass with distinction, Pass with credit, Pass, Fail