Signal processing - KAIN8M11

Informations générales

  • Number of hours

    • Lectures 15.0
    • Projects -
    • Tutorials 15.0
    • Internship -
    • Laboratory works -
    • Written tests 2.0

    ECTS

    ECTS 0.5

Goal(s)

The aim of this course, designed for Multimedia option students, is to offer an advanced course on digital filtering for signals and images. It is illustrated by concrete cases where filtering is required on data (images, signals) collected from sensors. Practical exercises in the Python language are offered to illustrate the concepts of this subject in practical terms.

Content(s)

Digital signal processing 1 and 2D.
Discretisation
Linear filtering: impulse response / frequency response
DFT, ZFT
Digital filter design

Prerequisites

Signal processing S2 INFO3

Test

Calendar

The course exists in the following branches:

  • Curriculum - INFO - Semester 8

Additional Information

Course ID : KAIN8M11
Course language(s): FR

You can find this course among all other courses.

Bibliography

Python Multimedia, http://www.packtpub.com/python-multimedia-application-beginners-guide/book
Programming Computer Vision with Python http://shop.oreilly.com/product/0636920022923.do
Image Processing and Acquisition using Python http://www.crcpress.com/product/isbn/9781466583757