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Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Educational activities
BIdentifying activities
Language
Course completely offered in italian
Course completely offered in english
--Not available
Innovative teaching
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
These CFUs include:
  • Subject taught jointly with companies or organizations
  • Blended Learning & Flipped Classroom
  • Massive Open Online Courses (MOOC)
  • Soft Skills
Course Details
Context
Academic Year 2019/2020
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - MI (474) Telecommunication Engineering
Track Z2A - SIGNALS AND DATA ANALYSIS
Programme Year 1

Course Details
ID Code 054318
Course Title AUDIO AND VIDEO SIGNALS
Course Type Integrated Course
Credits (CFU / ECTS) 10.0
Semester First Semester
Course Description This course is split into two modules: the video and the audio one. Visual information plays an important role in almost all areas of our life. Today, much of this information is represented and processed digitally. Digital image processing is ubiquitous, with applications ranging from television to tomography, from photography to printing, from robotics to remote sensing. "Video Signals" is a graduate-level introductory course to the fundamentals of digital image processing. The goal is to provide the students with the knowledge to handle algorithms for visual information processing and to develop novel approaches for specific applications. In addition to visual information, also audio signals are part of everybody's life. The goal of the course is to provide students with advanced audio signal processing skills and knowledge. In this course we first present the fundamental tools for analyzing, synthesizing and processing sounds (voice, music, acoustic signals). We then show how to use such tools for developing a wide range of applications, ranging from music information retrieval to acoustic array processing. Topics are treated both theoretically and practically.
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
B
ING-INF/03
TELECOMMUNICATIONS
10.0
Innovative teaching The course includes  1.0  credits in Innovative Teaching as follows:
  • Blended Learning & Flipped Classroom

Schedule, add and removeAlphabetical groupCodeModule DescriptionProfessorCFUSem.LanguageCourse details
From (included)To (excluded)
--AZZZZ054317VIDEO SIGNALSMarcon Marco5.0
[1.0Innovative teaching]
1
054315AUDIO SIGNALSBestagini Paolo5.01
manifesti v. 3.3.3 / 3.3.3
Area Servizi ICT
05/04/2020