TY - EJOU
AU - Nonomura, Taku
TI - Kalman Filter Dynamic Mode Decomposition for Data Assimilation
T2 - The International Conference on Computational \& Experimental Engineering and Sciences
PY - 2019
VL - 21
IS - 4
SN - 1933-2815
AB - In this presentation, a family of Kalman filter dynamic mode decomposition, which consists of algorithms of the linear Kalman filter DMD method which identify the linear system and the extended Kalman filter DMD method which simultaneously identify the system and estimates state variable, is introduced. Then, the application of the extended Kalman filter DMD to data assimilation is discussed.
KW - Computational geometry
KW - graph theory
KW - Hamilton cycles
DO - 10.32604/icces.2019.05266