Signals and Systems

Recommended Prerequisites

Algebra, Calculus, Computers and Programming.

Teaching Methods

The course includes theoretical-practical and laboratory sessions. In expository classes audiovisual equipment will be used. The practical classes are expository and are accompanied by suggested exercises that will require the application of the acquired knowledge. Student should participate in the solution of these exercises.In laboratory sessions students carry out the analysis of biosignals and small projects with the help of analysis and signal processing software, Matlab. The laboratory classes allow the analysis of signals in the context of applications for biosignals analysis and biomed.

Learning Outcomes

Acquire knowledge on signal analysis and processing techniques using linear time-invariant systems, with emphasis in applications in digital filtering and control.

Work Placement(s)

No

Syllabus

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. Introduction to digital filtering and control theory.

Head Lecturer(s)

Marco Alexandre Cravo Gomes

Assessment Methods

Assessment
Resolution Problems: 30.0%
Frequency: 35.0%
Exam: 35.0%

Bibliography

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

LEITURA COMPLEMENTAR

A. Oppenheim, A. Willsky and S. Hamid, Signals and Systems, 2nd Edition, 1996 Pearson Publisher, ISBN-13: 978-0138147570

Rangaraj M. Rangayyan, Biomedical Signal Analysis, 2nd Edition, 2015 IEEE Press, ISBN-13: 978-0470911396

Abdulhamit Subasi, Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach, 2019 Academic Press, ISBN-13: 978-0128174449

G. Franklin, J. Powell , A Emami-Naeini, Feedback Control of Dynamic Systems, 8th Edition, 2019  Pearson Publisher, ISBN-13: 978-1292274522.