Signal Applications
Code
10483
Academic unit
Faculdade de Ciências e Tecnologia
Department
Departamento de Engenharia Electrotécnica
Credits
6.0
Teacher in charge
Raúl Eduardo Capela Tello Rato
Weekly hours
4
Total hours
58
Teaching language
Português
Objectives
1 - When facing a definite problem, the student should 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 and detection methods, namely, those of spectral analysis and correlation; b) criation of linear models, 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 topics (*):
a) Adaptive Algorithms .
b) The ARMA model. Parameter Estimation.
c) Adaptive array signal processing.
d) Wavelet Transform.
e) Time-Frequency Distributions.
* To choose accordingly to the particular interests of the student
Bibliography
1 - Jonathan Steyn, "Digital Signal Processing", Wiley, 2000
2 - Ifeachor, E., C., Jervis, B., W., “Digital Signal Processing: A Practical Approach”, Addison-Wesley Publishing Company, 1993, Great Britain.
3 - DeFatta, D., Lucas, J. G. e Hodgkiss, W. S., “Digital Signal Processing; A System Design Approach”, Wiley, 1988.
4 - Proakis, J. G. e Manolakis, D. G., “Digital Signal Processing: Principles, Algorithms, and Applications”, Prentice-Hall, 1996.
Teaching method
Tutorials and lectures
Evaluation method
Exam and homework