Statistical Analysis and Signal Processing
Keywords |
Classification |
Keyword |
OFICIAL |
Mathematics |
Instance: 2009/2010 - 1S
Cycles of Study/Courses
Acronym |
No. of Students |
Study Plan |
Curricular Years |
Credits UCN |
Credits ECTS |
Contact hours |
Total Time |
M:EG |
1 |
PE do Mestrado em Engenharia Geográfica |
1 |
- |
7,5 |
70 |
202,5 |
M:ENM |
2 |
PE do Mestrado em Engenharia Matemática |
1 |
- |
7,5 |
70 |
202,5 |
2 |
M:M |
0 |
PE do Mestrado em Matemática |
1 |
- |
7,5 |
70 |
202,5 |
2 |
M:MAO |
2 |
PE Mestrado em MAOPI |
1 |
- |
7,5 |
70 |
202,5 |
M:SIG |
0 |
PE do Mestrado em Sistemas de Informação Geográfic |
1 |
- |
7,5 |
70 |
202,5 |
Teaching language
Portuguese
Objectives
To acquire knowledge on stochastic signal digital analysis and systems identification.
Program
Module of Signal - MS
Probabilistic methods in Signals and Systems: Discrete time stochastic processes. Analysis and characterization in time and frequency domains. Stationarity and ergodicity. Linear models.
Spectral Estimation: Parametric and non parametric methods. Introduction to time-frequency methods.
Application to a case study.
Module of - MI
Mathematical description of discrete linear systems and stability analysis. Wiener systems. Identification methods para adaptive systems: recursive and non recursive. Analysis of parameters: identification and sensitivity analysis. Application to a case study.
Teaching methods and learning activities
A special attention is given in both modules to the understanding of the concepts and methods with an effective use of simulated and experimental data. One of the aims of the discipline is also the improvement of the oral and written competences. The discipline presents an important computational component with MATLAB or other adequate computational environment
Software
Matlab
Evaluation Type
Distributed evaluation without final exam
Assessment Components
Description |
Type |
Time (hours) |
Weight (%) |
End date |
Attendance (estimated) |
Participação presencial |
70,00 |
|
|
|
Total: |
- |
0,00 |
|
Eligibility for exams
Minimum grade of 10 (out of 20) in the ensemble of projects done by the student.
Calculation formula of final grade
In each module: Individual Labs (T-30%)and final Project (P-70%). The final Project evaluation, includes discussion (30%), final presentation (20%) and written report(50%).
Examinations or Special Assignments
Not applicable. Identical for all of the students.