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

Available soon

Hours

Weekly - Available soon

Total - 25

Teaching language

Português

Prerequisites

Available soon

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

Available soon

Evaluation method

Available soon

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.