Acquire knowledge on signal analysis and processing techniques using linear time-invariant systems, with emphasis in applications with biosignals used in biomedical instrumentation.
1. Introduction to signals and systems.
2. Fourier representation of signals and linear time-invariant systems.
3. The Laplace transform.
4. The Z transform.
5. Digital filtering.
Mathematical Analysis (I, II, III), Linear Algebra and Analytical Geometry , Computers and Programming
Generic skills to reach
. Competence in analysis and synthesis; . Competence to solve problems; . Critical thinking; . Competence in autonomous learning; . Competence in applying theoretical knowledge in practice; . Computer Skills for the scope of the study; . Capacity of decision; . Competence for working in group; (by decreasing order of importance)
Teaching hours per semester
total of teaching hours
Laboratory or field work
Bibliography of reference
Simon Haykin and Barry Van Veen, Signals and Systems, 2nd Edition, 2003 John Wiley & Sons. Inc, ISBN 0-471-16474-7
Alex Palamides and Anastasia Veloni, Signals and Systems Laboratory with Matlab, 2011 CRC Press, ISBN 978-1-4398-3055-0
Theoretical classes with detailed presentation, using audio-visual means, of the concepts, principles and fundamental theories. Theoretical-practical classes for solving practical exercises, which require the combination of different theoretical concepts in order to promote critical reasoning in the presence of more complex problems.
Laboratory classes to solve practical exercises and small application projects using the Matlab tools for signal processing. Whenever possible and convenient we use biosignals data.
Laboratório computacional dotada com software de analise e processamento de sinais- Matlab.