Digital Signal Processing

Code:

M363

Acronym:

M363

Keywords
Classification	Keyword
OFICIAL	Mathematics

Instance: 2013/2014 - 1S

Active?	Yes
Responsible unit:	Department of Mathematics
Course/CS Responsible:	Bachelor in Mathematics

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
L:AST	2	Plano de Estudos a partir de 2008	3	-	7,5	70	202,5
L:B	1	Plano de estudos a partir de 2008	3	-	7,5	70	202,5
L:CC	0	Plano de estudos de 2008 até 2013/14	3	-	7,5	70	202,5
L:F	0	Plano de estudos a partir de 2008	3	-	7,5	70	202,5
L:G	0	P.E - estudantes com 1ª matricula anterior a 09/10	3	-	7,5	70	202,5
		P.E - estudantes com 1ª matricula em 09/10	3	-	7,5	70	202,5
L:M	38	Plano de estudos a partir de 2009	3	-	7,5	70	202,5
L:Q	0	Plano de estudos Oficial	3	-	7,5	70	202,5
M:CC	0	PE do Mestrado em Ciência de Computadores	1	-	7,5	70	202,5
			2
MI:ERS	0	Plano de Estudos a partir de 2007	4	-	7,5	70	202,5

Teaching language

Portuguese

Objectives

Aims Presentation of the fundamentals of Signal Processing, either in a deterministic or stochastic point of view, with a special emphasis in the frequency domain. Fundamentals of non parametric spectral estimation. The main objective is to provide a comprehension of concepts and methods and its effective use in the analysis of computer simulated and experimental data.

Learning outcomes and competences

The course orientation emphasis is the understanding of the main concepts and methods, together with an effective use of the methods in synthetic and experimental data analysis. At the end of the semester, the students should be familiar with the fundamentals of  Digital Signal Processing, particularly the analysis in the frequency domain, and being able to:
1. Manipulate with ease the fundaments fundamentals of  signals and systems.
2. Know the properties and how to use the various transforms studied.
3. Describe the properties of a signal and a linear system  (in the time and frequency domain).
4. Describe and analyse the effect of sampling a signal, and the consequent implication in what regards real signals.
5. Implement FIR and IIR filters and analyse their effects in a critical way.
6. Use Matlab for the analysis of signals and systems.

Working method

Presencial

Program

I. INTRODUCTION
- Introduction and motivation for the course.

II. SIGNALS AND SYSTEMS, TRANSFORMS AND APLICATIONS
- Signals and systems: fundamental concepts in a deterministic point of view.
- Fourier Series. Fourier Transform, periodic / non-periodic signals, generalized functions.
- Signal and system analysis in the time and frequency domains.
- Continuous signals sampling
- Applications to synthetic and experimental data

III. PROCESSAMENTO DE SINAL EM TEMPO DISCRETO
- Z Transform: properties and its use in system analysis.
- Digital filters (IIR and FIR) – implementation and analysis.
- Introduction to spectral analysis.

 

Mandatory literature

000091830. ISBN: 007-124467-0
000039783. ISBN: 0-13-373762-4 (hardcover)
000039607. ISBN: 0-13-216771-9

Complementary Bibliography

000039124. ISBN: 0-02-318010-2
000016887

Teaching methods and learning activities

The course includes classes for theory (T) and theory-practice (TP). The classes of type T are used for the presentation of concepts and methods, illustrated with a variety of examples. The classes of type TP are used for the resolution of problems and projects, with a strong computational component in a laboratorial environment using MATLAB (Matlab - Signal processing Toolbox).

Software

matlab

keywords

Technological sciences > Technology > Computer technology > Signal processing
Physical sciences > Mathematics > Applied mathematics
Physical sciences > Mathematics > Statistics

Evaluation Type

Distributed evaluation with final exam

Assessment Components

designation	Weight (%)
Exame	60,00
Participação presencial	0,00
Trabalho laboratorial	40,00
Total:	100,00

Eligibility for exams

The course attendance has a compulsory component of practical assignments / projects, with corresponding submission of programs / scripts / reports required within the fixed schedules (min. 8 out of 20 marks).

Calculation formula of final grade

The final course mark will be based on the assignment component (40%) and the final exam (60%), with both having to reach a minimum level of 40% (8 marks on a 0-20 scale).

Examinations or Special Assignments

n.a.

Special assessment (TE, DA, ...)

n.a.

Classification improvement

The lab and P components are not illegible for improvement of classification

Observations

Course Juri: Prof. André Marçal and Prof. Ana Paula Rocha