Coursebooks 2017-2018

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Caution, these contents corresponds to the coursebooks of last year


Lab in signal and image processing

EE-490(f)

Lecturer(s) :

Thiran Jean-Philippe

Language:

English

Withdrawal

It is not allowed to withdraw from this subject after the registration deadline.

Summary

These lab sessions will allow student to get familiar with time-frequency and time-scale tools to analyse complex signals. Algorithms to solve linear inverse problems will also be implemented and tested to restore degraded signals and images.

Content

Learning Prerequisites

Required courses

Digital signal processing or Signals and Systems

Recommended courses

Advanced Signal Processing

Learning Outcomes

By the end of the course, the student must be able to:

Transversal skills

Assessment methods

During the semester

In the programs

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     
Under construction
 
      Lecture
      Exercise, TP
      Project, other

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  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German