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Our engineering & Master degrees
Our engineering & Master degrees

> Studies

Digital signal processing - 4PMEM4N1

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  • Number of hours

    • Lectures : 18.0
    • Tutorials : 6.0
    • Laboratory works : 0
    • Projects : 0
    • Internship : 0
    ECTS : 2.0

Goals

Acquisition of necessary background for implementing digital signal processing methods and also elementary knowledge for random signal processing.

Contact Patrice PETITCLAIR, Gang FENG

Content

Digital signal processing :

•Sampling (brief recall) theorem and quantization
•Fourier Transform of discrete signal
•Discrete convolution
•Digital filter with finite impulse response (FIR)
•Digital filters with inifinite impulse response (IIR) : first order and second order cells, stability analysis, ...
•Digital filter synthesis

Random signal analysis :

•General description, statistical properties of random signal.
•Statistical correlation.
•Stationnary signal, Wiener-Kitchine theorem
•White noise, filtering of a random signal



Prerequisites

Tests

Written examination : 2H



Additional Information

Curriculum->SEI->Semester 8

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Université Grenoble Alpes