2024

Signals and Systems

Name: Signals and Systems
Code: EME13043M
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area: Electrotechnical Engineering

Teaching languages: Portuguese
Languages of tutoring support: Portuguese, English
Regime de Frequência: Presencial

Sustainable Development Goals

Learning Goals

Obtain knowledge in the area of discrete systems and their applications. Understand the advantages and limitations of digital signal processing systems. Know how to develop digital signal processing programs, design filters and perform spectral analysis.

Contents

1. Introduction to signal processing
Signal characterization and classification. Typical operations in signal processing. Signal examples.
2. Discrete time systems and signals
Sampling. Discrete time systems. Characterization of linear and time invariant systems. Signal correlation.
3. Sampling of continuous signals
Sampling theorem. Aliasing problem. Signal reconstruction. Interpolation and decimation.
4. Z transform
Properties. Convolution. Transfer function of a discrete system. Stability and causality.
5. Discrete Fourier Transform (DFT)
DFT definition and its inverse. DFT computation of real sequences. Convolution using the DFT. Spectral leakage and temporal windows. FFT (Fast Fourier Transform).
6. Digital Filters
FIR (Finite Impulse Response) and IIR (Infinite Impulse Response) filters. Design of FIR type filters. Design of IIR type filters.

Teaching Methods

Teaching is based on theoretical and theoretical-practical classes.
Theoretical classes serve to present theory and solve problems that help to consolidate the concepts presented. In theoretical-practical classes, various digital signal processing programs will be developed
An active learning system aiming to encourage students to do their own research on the subjects presented in classes.
Questions time available twice a week, in sets of two hours each, in the teacher's office. Use of email to answer basic questions or to schedule another follow-up time convenient for each student.

Assessment

Assessment elements are evaluated using the range [0,20].
Assessment elements:
[P1],[P2] Projects presented in the form of articles following the template of a scientific publication.

CONTINUOUS EVALUATION:
[NF] Final Grade: NF = P1×0.4 + P2×0.6
If NF>= 9.5 ^ Pi>= 9.5: Approved

FINAL EVALUATION:
[NF] Final Grade: NF = P1×0.4 + P2×0.6
If NF>= 9.5 ^ Pi>= 9.5: Approved

Teaching Staff