
Risorsa bibliografica obbligatoria 

Risorsa bibliografica facoltativa 

Anno Accademico

2017/2018

Scuola

Scuola di Ingegneria Industriale e dell'Informazione 
Insegnamento

088966  MULTIMEDIA SIGNAL PROCESSING
 089836  MULTIMEDIA SIGNAL PROCESSING 1ST MODULE

Docente 
Marcon Marco

Cfu 
5.00

Tipo insegnamento

Modulo Di Corso Strutturato

Corso di Studi 
Codice Piano di Studio preventivamente approvato 
Da (compreso) 
A (escluso) 
Insegnamento 
Ing Ind  Inf (Mag.)(ord. 270)  MI (474) TELECOMMUNICATION ENGINEERING  INGEGNERIA DELLE TELECOMUNICAZIONI  *  A  ZZZZ  088966  MULTIMEDIA SIGNAL PROCESSING  Ing Ind  Inf (Mag.)(ord. 270)  MI (481) COMPUTER SCIENCE AND ENGINEERING  INGEGNERIA INFORMATICA  *  A  ZZZZ  088966  MULTIMEDIA SIGNAL PROCESSING  099325  FUNDAMENTALS OF MULTIMEDIA SIGNAL PROCESSING 
Programma dettagliato e risultati di apprendimento attesi 
This module covers the fundamental tools for digital signal processing. In particular it addresses topics of signal analysis and filtering concerning audio and video data.
Some aspects of Statistical Signal Processing will also be presented during the course.
Participants will learn basic tools for digital signal filtering and analysis acquiring the knowledge to design specific filters and . In particular the program will be articulated in the following parts:
Review of Analog Signal Processing theory:
Some fundamentals of Analog Signal Processing will be recalled (sampling, quantization, Fourier Transform and Series, noise description...).
Introduction to Discrete Signals Transforms:
The ztransform, the Discrete Time Fourier Transform and the Discrete Fourier Transform will be described with their properties and application to filter design and analysis.
Introduction to Digital Filters:
This course part will cover Timedomain filter representations, transfer function analysis, frequency response analysis, Finite and Infinite impulse response implementation; stability analysis.
Windowing and Short Time Fourier Transform:
Overview of windows and realtime processing; overlap and add, overlap and save, Short Time Fourier Transform for real time processing
Introduction to Multirate Processing:
Downsampling, upsampling, polyphase filters, perfect reconstruction filter banks.
Elements of Statistical Signal Processing:
Random sequences, properties and characterization. Spectral estimation, the Periodogram, linear prediction. Introduction to estimation theory, power spectral density, parametric and nonparametric spectral estimation. Autocorrelation and autocovariance methods.
Laboratory activities
Laboratory activities enable student to improve their understanding of the concepts learnt during the lectures.
The proposed examples of applications and exercises, cover audio, image and video processing, and are based on Matlab^{® }and the related toolboxes (Digital Signal Processing System Toolbox, Audio System Toolbox, Image acquisition toolbox, Image Processing Toolbox ).
Examples of realtime processing with embedded devices (Raspberry Pi) and Simulink will also be provided.

Note Sulla Modalità di valutazione 
The exam for this module is a written test with 3 or 4 exercises to be solved in 2 hours. Two or three exercises require a numerical/procedural solution while the last one is a exercise requiring the definition of a Matlab procedure in order to solve the question and will focus on exercises exposed during laboratories. The Matlab code has to be written directly on the paper without any computer aid. The exam for the first module will take place only in the written version; no oral exams, integrations or projects will be considered in order to increase the obtained grade. In order to pass the whole Multimedia Signal Processing exam (first and second module) (for students that are not following just the first module ("Fundamentals of Multimedia Signal Processing")) a positive grade must be obtained in both modules and the final mark will be the average of the two marks rounded up the next integer. In evaluating the average between the two modules a 30 cum laude mark in a module will be considered as 30; in order to get 30 cum laude as a final mark, the mark of at least one module must be 30 cum laude. In every exam date one module will take place in the morning while the other in the afternoon (the sequence will be published in the web poliself) but the exams of both modules will take place in the same day; anyway you can choose to take on a single module or both modules in the same day. Once you get a positive mark in a module this mark will be automatically frozen until you take again the same module in a following session; taking again the exam on the same module means that you register, participate and turn in your solution; if you simply participate to an exam but do not turn in your solution, this will not change your previous mark and you will be considered as "asbsentee". Once you will get a positive mark in both modules the final mark will be evaluated and then published for the publishing period on the web poliself ; at the end of this period it will be automatically recorded. If you do not want to record that final grade you have to refuse it from the poliself: in that case both marks will be restored in a "frozen" state in order to allow you to take on again a module (or both of them). Anyway if you have a frozen mark in both modules at the end of each exam to which you signed in, the final average mark will be automatically published and, after the publishing period, automatically recorded: so, if you want to improve your final mark you have to remember to refuse the published final grade.

Paulo S. R. Diniz, Eduardo A. B. da Silva, Sergio L. Netto, Digital Signal Processing: System Analysis and Design. Second edition, Anno edizione: 2010, ISBN: 9780521887755
DAFX: Digital Audio Effects, 2nd Edition, Editore: Udo Zolzer, Anno edizione: 2011, ISBN: 9780470979679

Tipo Forma Didattica

Ore didattiche 
lezione

30.0

esercitazione

20.0

laboratorio informatico

0.0

laboratorio sperimentale

0.0

progetto

0.0

laboratorio di progetto

0.0

Informazioni in lingua inglese a supporto dell'internazionalizzazione 
Insegnamento erogato in lingua
Inglese

Disponibilità di materiale didattico/slides in lingua inglese

Disponibilità di libri di testo/bibliografia in lingua inglese

Possibilità di sostenere l'esame in lingua inglese

Disponibilità di supporto didattico in lingua inglese

