Signal processing

Signal processing aims to extract meaningful information from various types of signals (physiological, physical, electrical, images, etc.). To analyze and interpret these signals, signal processing relies on mathematical tools and techniques such as convolution, the Fourier transform, correlation, and related methods.

In this course, these tools will be studied, and their application to signal analysis and filtering will be presented in order to enable the extraction of relevant information.