Course Syllabus 2013/2014
 
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Module : TS325
Title :
Optimal and adaptive filters level 2
Number of hours :
Combined lecture and tutorial classes : 5.33 h
Individual work : 4.00 h
Practical work : 2.66 h
ECTS credits :
0.50
Teacher(s) :
GIREMUS Audrey
Level :
third year module
Abstract :
This lecture is complementary to the lecture TS 324. Its purpose is to present the state space representation of the system, the Kalman filter and particle filtering. These methos are then used in various fields such as speech processing, GPS navigation, mobile communication system, radar processing, biomedical application, etc.
Prerequisite :
TS 324
Document(s) :
Lecture Notes for class and exercices
Keyword(s) :
state space representation of the system, estimation, Kalman filtering, particle filtering