Signal Processing and Analysis
Master's degree in Electrical Engineering (specialization in Control and Industrial Electronics)
6 ECTS; 1º Ano, 2º Semestre, 28,0 T + 28,0 PL + 5,0 OT + 2,0 O
- Gabriel Pereira Pires
The main objective of this course is to provide students with the concepts and fundamental techniques of processing and analysis of digital signals (DSP).
In the end, students should be able to simulate, design and implement DSP system, with mains focus on the implementation of digital filters.
2- Discrete signals and systems
3- AD and DA conversion
4- Statistical description of discrete signals
5- Discrete Fourier transform and spectral estimation methods
6- Design, analysis and implementation of FIR and IIR digital filters
7- Implementation of digital filters in C language in microprocessors/microcontrollers.
Written test (50% weight)
Practical component: homework (10% weight) + laboratory projects (40% weight)
The approval in the discipline requires a minimum of 40% in the written test and a minimum of 50% in the practical component. Homework and laboratory projects have deadlines that are defined throughout the year.
These evaluation criteria and methods apply to all periods of evaluation.
- Smith, S. The Scientist & Engineer's Guide to Digital Signal Processing. USA: California: Technical Publishing - online
- Lathi, B. (2000). Signal Processing and Linear Systems. USA: Oxford University Press
- Zaidi, A. (2007). Advanced Digital Signal Processing. DEE- University of Notre Dame: -
Method of interaction
Lectures, Problem solving and laboratory sessions.
Software used in class
- MATLAB + SIMULINK (http://www.mathworks.com/products/matlab/)
- C programming framework