Signal Processing

Objectives

-          Know the different classes of signals and the properties of their representations (autocorrelation function, energy or power spectral densities).

-          Identify or design linear filtering operations.

-          Understand the effects of ideal and real sampling,

-          Know the techniques of restitution.

Description

Chapter 1: Correlation and spectra (Fourier transform, signal classes, properties).

Chapter 2: Linear filtering (Wiener-Lee relations, interference formula).

Chapter 3: Sampling (ideal sampling, actual sampling, restitution).

Chapter 4: Nonlinear filtering (quadrator, quantification).

Session 1 ou session unique - Contrôle des connaissances

Session 2 - Contrôle des connaissances