Learning objectives
1) Knowledge and understanding
The course presents some tools for the analysis and simulation of systems for digital signal processing and communications.
2) Applying knowledge and understanding
Students learn to use tools for analysis and simulation with a “learn by doing” approach.
Prerequisites
Suggested: Signal Theory, Telecommunication Systems, Information Transmission.
Course unit content
Laboratory of digital systems and communications. Digital filters. Audio and video signal processing. Error control. Modulation and coding.
Full programme
Laboratory of digital systems and communications. Digital filters. Audio and video signal processing. Error control. Modulation and coding.
Bibliography
A. Bruce Carlson, Paul B. Crilly: Communication systems, 5th edition, McGraw Hill, 2010.
Michael Rice: Digital Communications - A Discrete-Time Approach, Prentice Hall, 2008.
Teaching methods
The course is organized in laboratory sessions and personal work for homework solving. Laboratory sessions are based on the use of tools for signal processing and analysis, as well as system simulation.
Assessment methods and criteria
Evaluation comprehensively based on:
- level of (active and regular) attendance of laboratory sessions
- laboratory reports
- final oral interview, unless exempted for good level of (active and regular) course attendance.
Remedial evaluation based on a complex individual project (strongly discouraged).
Other information
The course relies upon a specific web site.
2030 agenda goals for sustainable development
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