Studying at the University of Verona
Academic calendar
Il calendario accademico riporta le scadenze, gli adempimenti e i periodi rilevanti per la componente studentesca, personale docente e personale dell'Università. Sono inoltre indicate le festività e le chiusure ufficiali dell'Ateneo.
L’anno accademico inizia il 1° ottobre e termina il 30 settembre dell'anno successivo.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates. For further information, please get in touch with Operational unit: Science and Engineering Teaching and Student Services Unit
| Period | From | To |
|---|---|---|
| I semestre | Oct 1, 2018 | Jan 31, 2019 |
| II semestre | Mar 4, 2019 | Jun 14, 2019 |
| Session | From | To |
|---|---|---|
| Sessione invernale d'esame | Feb 1, 2019 | Feb 28, 2019 |
| Sessione estiva d'esame | Jun 17, 2019 | Jul 31, 2019 |
| Sessione autunnale d'esame | Sep 2, 2019 | Sep 30, 2019 |
| Session | From | To |
|---|---|---|
| Sessione Estiva | Jul 18, 2019 | Jul 18, 2019 |
| Sessione Autunnale | Oct 17, 2019 | Oct 17, 2019 |
| Sessione Invernale | Mar 18, 2020 | Mar 18, 2020 |
| Period | From | To |
|---|---|---|
| Sospensione dell'attività didattica | Nov 2, 2018 | Nov 3, 2018 |
| Vacanze di Natale | Dec 24, 2018 | Jan 6, 2019 |
| Vacanze di Pasqua | Apr 19, 2019 | Apr 28, 2019 |
| Festa del Santo Patrono | May 21, 2019 | May 21, 2019 |
| Vacanze estive | Aug 5, 2019 | Aug 18, 2019 |
Exam calendar
The exam roll calls are centrally administered by the operational unit
Science and Engineering Teaching and Student Services Unit
Exam Session Calendar and Roll call enrolment sistema ESSE3
.If you forget your password to the online services, please contact the technical office in your Faculty.
Per dubbi o domande Read the answers to the more serious and frequent questions - F.A.Q. Examination enrolment
Academic staff
Study Plan
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University. Please select your Study Plan based on your enrolment year.
| Teachings | Credits | TAF | SSD |
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| Teachings | Credits | TAF | SSD |
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1° Anno
| Teachings | Credits | TAF | SSD |
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2° Anno
| Teachings | Credits | TAF | SSD |
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| Teachings | Credits | TAF | SSD |
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Image Processing II (2018/2019)
Teaching code
4S003737
Credits
6
Coordinatore
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Language of instruction
Italian
The teaching is organized as follows:
Teoria
Credits
4
Period
I semestre
Academic staff
Gloria Menegaz
Laboratorio
Credits
2
Period
I semestre
Academic staff
Gloria Menegaz
Learning outcomes
The course aims at providing the theoretical and practical knowledge for the time(space)/frequency analysis of multidimensional signals. The mail focus will be on the Wavelet Transform as well as on applications in the ICT framework.
At the end of the course the student will be able to identify the best approach to process signals, images and volumetric data depending on the problem at hand such as feature extraction for pattern recognition, compression and coding, multiscale representation of multidimensional signals.
The student will be able to design and implement a signal processing system using different computational platforms including Matlab and Python as well as analyse the performance of the algorithm.
At the end of the course the student will be able i) to propose solutions to a given problem from both the theoretical and algorithmic point of view; ii) to learn new mathematical tools for the representation, analysis and processing of multidimensional signals; iii) to implement the algorithm on the most suitable platform.
Program
1) Background: overview of mathematical tools
- Fourier transform for signals and images
- Windowed Fourier Transform
2) Wavelets and multiresolution representations
- Introduction to multiresolution theory
- Wavelet bases
- Wavelet families and overcomplete representations
- Fast Wavelet Transform (DWT)
- Extension to multiple dimensions
- Applications in ICT and biomedical frameworks
Examination Methods
The exam consists in an oral and a project. The oral will concern multiresolution theory. The project will be assigned during the lab. sessions.
Bibliografia
| Activity | Author | Title | Publishing house | Year | ISBN | Notes |
|---|---|---|---|---|---|---|
| Teoria | Stephane Mallat | A Wavelet Tour of Signal Processing (Edizione 2) | Academic Press | 1999 | 9780124666061 |
Tipologia di Attività formativa D e F
Course not yet included
Career prospects
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Graduation
List of theses and work experience proposals
University Language Centre - CLA
Further services
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