Component
École Nationale Supérieure d'Électrotechnique d'Électronique d'Informatique d'Hydraulique et des Télécommunications
Objectives
Understand optimal filtering solutions and know how to implement adaptive versions.
Description
· The different problems addressed: identification, inversion, noise cancellation, prediction
· Wiener optimal filter
· Stochastic gradient algorithm
· Optimal filter in the least squares sense
· Recursive least squares algorithm
· Kalman algorithm
Pre-requisites
· N5EE01C - Probabilities
· N6EE01A - Differential calculus and optimization
· N6EE02A - Signal processing
· N6EE02B - Digital signal processing
