Signal Applications
Objectives
After successfully completing the course, the student will master the main concepts and analytical tools for the analysis and processing of signals in terms of their practical application. In this discipline the student becomes able to use analytical and computational tools to solve real problems in signal processing, in order to analyze and manipulate signals both in the time and frequency domains and apply these techniques to audio or biological signals, control and sensors signals, radio or radar signals, among others. The discipline promotes capacities for initiative, critical spirit, autonomy and achievement.
General characterization
Code
10483
Credits
6.0
Responsible teacher
Fernando José Almeida Vieira do Coito, Raúl Eduardo Capela Tello Rato
Hours
Weekly - 4
Total - 25
Teaching language
Português
Prerequisites
After successfully completing the course, the student will master the main concepts and analytical tools for the analysis and processing of signals in terms of their practical application. In this discipline the student becomes able to use analytical and computational tools to solve real problems in signal processing, in order to analyze and manipulate signals both in the time and frequency domains and apply these techniques to audio or biological signals, control and sensors signals, radio or radar signals, among others. The discipline promotes capacities for initiative, critical spirit, autonomy and achievement.
Bibliography
Documents and transparencies covering theory, practice and lab subject matters.
F.Coito e M.D.Ortigueira, Análise de Sinais (in Portuguese)
Alan V. Oppenheim e Ronald Schafer, Digital Signal Processing, Prentice Hall
Jonathan Stein , Digital Signal Processing: A Computer Science Perspective, Wiley-Interscience
S. Lawrence Marple Jr., Digital Spectral Analysis - 2nd ed, Dover
Ralph D. Hippenstiel, Detection Theory: Applications and Digital Signal Processing, CRC Press
Teaching method
Theoretical-practical exposition and exercises.
Case Study.
Evaluation method
Approval on the Signal Applications course can be achieved in one of two alternative ways:
An average higher than 9.5 values (scale 0-20 values) in the weekly evaluation tests to be carried out during the semester.
Conducting a final exam (“recurso”) with a minimum grade of 9.5. The grade obtained on the exam will be the final grade of the course.
The course doesn’t have a single frequency evaluation. All students who do not get approved on tests may attend the final exam.
Subject matter
1. Multirhythm signal processing.
2. Power spectrum estimation.
3. Use of windows.
4. Optimal filters.
5. Classic detection.
6. Blind detection.
7. Deconvolution.