Teaching

On-Campus Classes

  • Mathematical foundations of signal processing

    Signal processing tools are presented from an intuitive geometric point of view which is at the heart of all modern signal processing techniques. The student will develop the mathematical depth and rigor needed for the study of advanced topics in signal processing and approximation theory.

    Doctoral program in computer and communication sciences,
    Doctoral program in robotics, control, and intelligent systems,
    MINEUR, Autumn semester
    Section of Communication Systems, Master semester 1
    Section of Communication Systems, Master semester 3
    Section of Computer Science, Master semester 1
    Section of Computer Science, Master semester 3
    Section of Mathematics, Master semester 1
    Section of Mathematics, Master semester 3
    Teachers : Simeoni Matthieu.
    Language : english
    Academic term : 2020-2021


  • Signal processing for communications

    Students learn digital signal processing theory, including discrete time, Fourier analysis, filter design, adaptive filtering, sampling, interpolation and quantization; they are introduced to image processing and data communication system design.

    Auditeurs, Spring semester
    MINEUR, Spring semester
    Section of Communication Systems, Bachelor semester 6
    Section of Communication Systems, Spring semester
    Section of Computer Science, Bachelor semester 6
    Section of Mathematics, Master semester 2
    Section of Mathematics, Master semester 4
    Teachers : Prandoni Paolo.
    Language : english
    Academic term : 2020-2021


  • Online Teachingcoursera

    Since 2013, the undergraduate class “Signal Processing for Communication” has been available online as the first DSP MOOC. Currently in self-paced mode, the 8-week class is available on Coursera free of charge.