Code: | M3002 | Acronym: | M3002 |
Keywords | |
---|---|
Classification | Keyword |
OFICIAL | Mathematics |
Active? | Yes |
Responsible unit: | Department of Mathematics |
Course/CS Responsible: | Bachelor in Mathematics |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
L:B | 0 | Official Study Plan | 3 | - | 6 | 56 | 162 |
L:CC | 1 | Plano de estudos a partir de 2014 | 2 | - | 6 | 56 | 162 |
3 | |||||||
L:F | 0 | Official Study Plan | 2 | - | 6 | 56 | 162 |
3 | |||||||
L:G | 0 | study plan from 2017/18 | 2 | - | 6 | 56 | 162 |
3 | |||||||
L:M | 31 | Official Study Plan | 2 | - | 6 | 56 | 162 |
3 | |||||||
L:Q | 0 | study plan from 2016/17 | 3 | - | 6 | 56 | 162 |
MI:ERS | 2 | Plano Oficial desde ano letivo 2014 | 2 | - | 6 | 56 | 162 |
3 |
Fundamentals of Signal Processing and Analysis, either in a deterministic or stochastic point of view, with a special emphasis in the frequency domain. Fundamentals of non parametric spectral estimation. The course was designed to provide a comprehension of concepts and methods and its effective use in the analysis of computer simulated and experimental data, using advanced computational tools.
The course orientation emphasis is the understanding of the main concepts and methods, together with an effective use of the methods in synthetic and experimental data analysis. At the end of the semester, the students should be familiar with the fundamentals of Digital Signal Processing, particularly the analysis in the frequency domain, and being able to:
1. Manipulate with ease the fundaments fundamentals of signals and systems.
2. Know the properties and how to use the various transforms studied.
3. Describe the properties of a signal and a linear system (in the time and frequency domain).
4. Describe and analyse the effect of sampling a signal, and the consequent implication in what regards real signals.
5. Implement FIR and IIR filters and analyse their effects in a critical way.
6. Use Matlab for the analysis of signals and systems.
The course includes 3 types of classes: (1) for former presentation of contents, (2) for solving problems and exercices, (3) practical computational classes. Type (3) classes are oriented to the solving of problems and mini-projects on MATLAB software, using real and simulated data.
designation | Weight (%) |
---|---|
Exame | 60,00 |
Participação presencial | 0,00 |
Trabalho laboratorial | 40,00 |
Total: | 100,00 |
designation | Time (hours) |
---|---|
Estudo autónomo | 56,00 |
Frequência das aulas | 56,00 |
Trabalho laboratorial | 50,00 |
Total: | 162,00 |
The course attendance has a compulsory component of practical assignments / mini-projects, with the submission of the corresponding functions / scripts / reports within the fixed schedules, and with a minimum classification of 8 (in a 0-20 scale). The students may have to perform an oral examination regarding the practical assignments.
The final course mark will be based on the practical component (40%) and the final exam (60%), with both having to reach a minimum level of 8 (in a 0-20 scale).
n.a.
n.a.
The practical component is not illegible for improvement of classification.
Course Juri: Prof. André Marçal and Prof. Ana Paula Rocha