Signal processing

Objectives

Definition and purpose of signal processing

Skills acquired

Be able to recognize the different types of signals and their properties
Know how to choose tools to study linear invariant systems
Know how to calculate Fourier and Laplace transforms of different classes of signals and interpret them
Mobilize a wide field of fundamental and technical sciences related to avionics and space systems, and the ability to analyze and synthesize them
Have a global systems approach
Communicate and work as part of a team

Basic engineering mathematics (complex numbers, series, integration)

Contents

Signal classification (continuous-time, discrete-time, periodic, etc.).)
Frequency analysis (Fourier series decomposition, continuous and discrete-time Fourier transforms, Shannon's theorem)
Linear invariant systems (convolution product, impulse response and transfer function)
Energy properties (energy and power, correlation functions, power/energy spectral densities)


Teaching method

Matlab courses, TD and TP sessions

Digital maintenance