Course Details for A.Y. 2017/2018

The information on this page refer to the academic year 2017/2018. Therefore, several links are not available and data may be incomplete. To read the current information on the course, if it is still available, go to the university course catalogue . To read information relating other academic years, use the list at the bottom of this page.

A. Year:

2017/2018

Name:

Digital Signal Processing and Multimedia / Digital Signal Processing and Multimedia

Type:

Course

Basic information

Code:

DT0189

Sector:

ING-INF/03

Credits:

: Laurea Magistrale in Ingegneria delle Telecomunicazioni 6 CFU (b)

Term:

2^nd semester

Degree(s):

Laurea Magistrale in Ingegneria delle Telecomunicazioni 1^st anno curriculum Comune Elective

Language:

English

Teacher(s):

Claudia Rinaldi

Course Objectives

The goal of this module is to provide the fundamental set of concepts, algorithms and solutions related to multimedia signals and content. On successful completion of this module, the student should understand i) the fundamental operations behind digital signal processing with particular focus on frequency transforms and filtering, ii) relevant modern standards for representing audio, image and video signals depending on the specific application and related requirements. The students are asked to deal with both analysis of problems and design and developing of proper solutions from an algorithmic point of view (compression, watermarking and so on.). The module is tightly connected with the modules of Digital Communications, Embedded Systems, Radiopropagation, Telecommunication Networks II.

Course Content

1st Part: Signals and Signal Processing: Discrete Time Signals in the Time Domain
Discrete Time Signals in the Frequency Domain
Discrete-time Systems
Finite-Length Discrete Transforms
Z-Transform
LTI Discrete Time Systems in the Transform Domain
Digital Filter Structures
IIR Digital Filter Design, FIR Digital Filter Design
2nd Part: multimedia algorithms: Audio, image and video signals representation standards and solutions
Compression algorithms
Speech coding
Musical audio effects implementation

Learning Outcomes (Dublin Descriptors)

On successful completion of this course, the student should

have solid knowledge of digital signal processing techniques
have knowledge and understanding of algorithms for multimedia signal processing
understand and explain the complete procedure for multimedia signal processing and transmission
demonstrate skill in analyzing problems, elaborate appropriate written documentation and oral presentations of problems, solutions, and validation methods
demonstrate capacity for reading and understanding any textbooks and scientific papers on specific matters, with particular emphasis on research oriented literature and documents that describes standard systems

Prerequisites and Learning Activities

The student should be aware of fundamentals of analog signal processing and telecommunication networks.

Assessment Methods and Criteria

Oral exam and presentation/discussion of a project work. Students are encouraged to carry out the project work in team.

Textbooks

Sanjit K. Mitra, Digital Signal Processing, A computer Based Approach , McGraw-Hill International Edition. 4th edition
Alan V. Oppenheim, Ronald W. Schafer, Discrete-time Signal Processing , Prentice Hall Signal Processing Series. Alan V. Oppenheim Series Editor, 2nd edition

Notes

A rich set of handouts and course material produced by the teacher is made available to the students, along with development tools

Course page updates

This course page is available (with possible updates) also for the following academic years:

To read the current information on this course, if it is still available, go to the university course catalogue .

Course information last updated on: 30 novembre 2016, 12:56