Faculdade de Ciências e Tecnologia

Signal Applications

Code

10483

Academic unit

Faculdade de Ciências e Tecnologia

Department

Departamento de Engenharia Electrotécnica

Credits

6.0

Teacher in charge

Manuel Duarte Ortigueira

Teaching language

Português

Objectives

1 - In facing a concrete situation, the student must, by mere observation, to know how to extract some qualitative characteristics from the signal at hand, nomely,  those refferent to periodic/non-periodic, deterninistic/random and frequential occupation, in order to decide which analyse and modelling tools are suitable to use.
2 - To use, with skill, a) the suitable analyse methods , nomely, those of spectral analysis; b) criation of linear modells, chiefly, autoregressive.
3 – To know how to use and design linear systems which allow separate signals into simpler components to become easier their study and processing.

Prerequisites

Signal Theory

Subject matter

1 -  Revision of basic concepts. Discrete-time linear invariant linear systems.                                         
2 - Spectral Analysis : Blackmann-Tukey and Bartlett-Welch methods. High resolution methods: Capon, Min-Norm and MUSIC
3 -   Linear Prediction. Estimation methods: correlation, covariance and Burg. Ladder/lattice structures.
4 -  Advanced topic (*):
a)      Adaptive Algorithms .
b)      The ARMA model. Parameter Estimation.      
c)      Adaptive array sgnal processing.
d)       Wavelet Transform.
e)      Time-Frequency Distributions.

* To choose accordingly to the particular interests of the students

Bibliography

1 - Ifeachor, E., C., Jervis, B., W., “Digital Signal Processing: A Practical Approach”, Addison-Wesley Publishing Company, 1993, Great Britain.
2 - DeFatta, D., Lucas, J. G. e Hodgkiss, W. S., “Digital Signal Processing; A System Design Approach”, Wiley, 1988.
3 - Proakis, J. G. e Manolakis, D. G., “Digital Signal Processing: Principles, Algorithms, and Applications”, Prentice-Hall, 1996.

Teaching method

Switching between theory and practice.

Use of real signals, like ECG, EEG and speech, for exemplification.

Systematic use of the computer with base in MatLab

Evaluation method

a)     The assessement will consist of the realization of a project.
b)     This project can be in group, mas will have an individual evaluation.

Courses