Digital Signal Processing

Code:

M363

Acronym:

M363

Keywords
Classification	Keyword
OFICIAL	Mathematics

Instance: 2009/2010 - 1S

Active?	Yes
Web Page:	http://elearning.fc.up.pt/aulasweb0607/course/view.php?id=112308
Responsible unit:	Departamento de Matemática Aplicada
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	0	Plano de Estudos a partir de 2008	3	-	7,5	70	202,5
L:B	0	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	12	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
MI:ERS	2	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.

Program

Signals and systems: fundamental concepts in a deterministic point of view. Transforms: Fourier and z transform. Discrete Fourier transform, fast Fourier transform. Continuous signals sampling. Linear transformation of signals; A/D and D/A conversion. Digital filters (IIR and FIR).
Random signals. Stationary stochastic processes: description in time and frequency domains. Spectral estimation (non-parametric methods). Transformation of stochastic signals by linear systems.

Mandatory literature

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

Teaching methods and learning activities

Lectures and application examples. Practical classes with a strong computational component using MATLAB, sets of problems/project .

Software

matlab

keywords

Physical sciences > Mathematics > Applied mathematics
Physical sciences > Mathematics > Statistics

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Description	Type	Time (hours)	Weight (%)	End date
Attendance (estimated)	Participação presencial	70,00
	Total:	-	0,00

Eligibility for exams

Laboratorial work presented according to the due schedule (Lab>=40%).

Calculation formula of final grade

Written examination ( E ) and individual or group laboratorial work/project (T, corresponding to the components Lab and P) . Minimum mark in components E and Lab (40%). Final classification (E*16+T*4)/20.

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