Student Colloquium
DATE	2019-04-30　12:00-13:00
PLACE	數學館3175教室
SPEAKER	鄭伯信 同學（成功大學數學系）
TITLE	A Brief Introduction to Kalman Filtering Associated with Numerical Simulations
ABSTRACT	As an efficient minimal mean-square error estimator, Kalman filtering, since the 1960s, has earned plenty of extensive research and numerous applications, such as satellite navigation systems, radar tracking, object tracking in computer vision. It is essentially comprised of a set of mathematical equations which requires the acknowledgement of linear algebra, statistics and control theory. Nowadays, several extended versions of Kalman filtering, like extended Kalman filter and unscented Kalman filter, have been invented so as to deal with more general problems or to enhance accuracy of estimation. In this short talk, I will be giving an overlook of these three kinds of Kalman filtering and demonstrate numerical simulations of our current work. 我要參加