Digital Signal Processing
0
2023-2024
02000515
Telecommunications
Portuguese
Face-to-face
6.0
Elective
2nd Cycle Studies - Mestrado
Recommended Prerequisites
Probability and Statistics; Signal Processing
Teaching Methods
Expository lessons with a detailed presentation of the concepts and solving of practical examples of application with demonstrations.
Laboratorial classes where the student will perform computational simulations of the presented topics.
Evaluation:
The continuous evaluation consists of theoretical-practical tests (60%) and laboratorial assignments and practical laboratory work (40%).
Learning Outcomes
It is intended that students acquire a strong training in statistical and deterministic processing of discrete-time signals. The skills obtained will allow developing modern applications and signaling processing algorithms in different areas of knowledge.
Work Placement(s)
NoSyllabus
1. Multi-rate signal processing
Decimation, expansion, band-limited interpolation. Bank of filters.
2. Discrete-time stochastic processes
Definitions. Estimation of autocorrelation. Harmonic and white noise processes. Regular stochastic processes: AR, MA and ARMA.
3. Power spectrum estimation
Periodogram. Classical smoothing methods. Maximum Entropy method. Structural Methods.
4. Optimal filtering
Wiener filtering. Wiener-Hopf equations. Practical cases: echo canceling; noise canceling; linear prediction, noise reduction in time and in frequency.
Head Lecturer(s)
Fernando Manuel dos Santos Perdigão
Assessment Methods
Assessment
Exam: 30.0%
Frequency: 30.0%
Laboratory work or Field work: 40.0%
Bibliography
S. Mitra, Digital Signal Processing: A Computer-Based Approach, McGraw-Hill, 3rd. ed., 2005.
Monson H. Hayes, Statistical Digital Signal Processing and Modeling, John Wiley, 1996.
Oppenheim and Schafer, Discrete-Time Signal Processing, 3rd edition, Pearson, 2010.