IDENTIFYING DATA 2021_22
Subject (*) DIGITAL SIGNAL PROCESSING Code 17244113
Study programme
Bach. Degree in Telecommunication Systems and Services Engineering (2016)
Cycle 1st
Descriptors Credits Type Year Period
6 Compulsory Third 1Q
Language
Català
Department Electronic, Electric and Automatic Engineering
Coordinator
BREZMES LLECHA, JESÚS JORGE
E-mail elisabet.xifre@urv.cat
jesus.brezmes@urv.cat
Lecturers
XIFRÉ PÉREZ, ELISABET
BREZMES LLECHA, JESÚS JORGE
Web http://https://moodle.urv.cat/
General description and relevant information <p> The information published in this guide corresponds to face-to-face classes and can serve as a guide. Due to the health emergency caused by COVID-19 there may be changes in teaching, assessment and calendars for the academic year. These changes will be reported in the Moodle space of each subject.</p><p>GENERAL DESCRIPTION OF THE SUBJECT:In digital signal processing the first lectures will be devoted to the topic of analog to digital conversion and vice verse. Then, the full theory on digital systems and signals is developed. Finally, design of digital systems and filters are treated. The subject contains several on-hand labs with Matlab to Learn to process real world analog signals converted into digital data. </p>

Competences
Type A Code Competences Specific
 RT5 Have the ability to assess the advantages and disadvantages of different technological alternatives for the deployment or implementation of communications systems from the perspective of signal space, perturbations, noise and analogue and digital modulation systems.
Type B Code Competences Transversal
Type C Code Competences Nuclear

Learning outcomes
Type A Code Learning outcomes
 RT5 Apply the underlying theory of analogue-digital conversion
Identify noise characteristics in the discrete domain
Use the Z transform and understand its implications
Understand the frequency response of discrete systems
Understand design techniques for discrete filters
Type B Code Learning outcomes
Type C Code Learning outcomes

Contents
Topic Sub-topic
1- Conversió Analògic-Digital 1.1 Introducció
1.2 Mostreig de senyals analògics
1.3 Quantificació de senyals analògiques
2- Conversió Digital-Analògica 2.1 Convertidor impulsional
2.2 Filtre reconstructor
2.3 Convertidor d'ordre zero
3. Sistemes discrets 3.1 Propietats dels sistemes discrets
3.2 Convolució discreta
3.3 Resposta impulsional
4. Transformada Z 4.1 Definició
4.2 Propietats
4.3 Transformades bàsiques
4.4 Transformada Z inversa
5. Resposta freqüencial 5.1 Freqüències en el domini discret
5.2 Propietats
5.3 Relació entre freqüències analògiques i discretes
6. Transformada discreta de Fourier, DFT 6.1 Definició
6.2 Relació amb la transformada de Fourier analògica de senyals discrets
6.3 Transformada discreta inversa de Fourier
7. La Transformada ràpida de Fourier, FFT 7.1 Mètodes temporades
7.2 Mètodes freqüencials
8. Filtres digitals 8.1 Definició
8.2 Disseny
9. Filtres digitals IIR 9.1 Definició
9.2 Disseny
10. Exemples de tractament digital de biosenyals

Planning
Methodologies  ::  Tests
  Competences (*) Class hours
Hours outside the classroom
(**) Total hours
Introductory activities
RT5
1 0 1
Lecture
RT5
24 10 34
Laboratory practicals
RT5
30 60 90
Personal attention
2 0 2
 
Short-answer objective tests
RT5
1 10 11
Extended-answer tests
RT5
2 10 12
 
(*) On e-learning, hours of virtual attendance of the teacher.
(**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies
  Description
Introductory activities S'introduirà la assignatura, el seu desenvolupament i la forma de avaluar.
Lecture
Laboratory practicals
Personal attention Els alumnes, una vegada assignats a un determinat grup de treball, poden preguntar al professor qualsevol cosa sobre el exercici assignat.

Personalized attention
Description
La atenció personalitzada també serà en anglès. Nomes es parlarà en català/castellà per traduir paraules puntuals. L'alumne es podrà dirigir al professor per tal de aclarir qualsevol dubte de la matèria donada a classe o sobre algun dels exercicis assignats.

Assessment
Methodologies Competences Description Weight        
Laboratory practicals
RT5
30%
Extended-answer tests
RT5
40%
Short-answer objective tests
RT5
30%
Others  
 
Other comments and second exam session

Sources of information

Basic Proakis, J.G. y D.G. Manolakis, Digital Signal Processing: Principles, algorithms and applications, 4,

Complementary

Recommendations

Subjects that continue the syllabus
DIGITAL COMMUNICATIONS/17244112

Subjects that are recommended to be taken simultaneously
MICROCONTROLLERS AND EMBEDDED SYSTEMS/17244117

Subjects that it is recommended to have taken before
FUNDAMENTALS OF COMMUNICATIONS I/17244103
FUNDAMENTALS OF COMMUNICATIONS II/17244108
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.