@inbook{519e195031884ef3a1fd9b651c90424b,
title = "Modeling and Fusion Estimation of Dynamic Multiscale System Based on M-Band Wavelet and State Space Projection",
abstract = "This paper investigates the modeling and fusion estimation of a class of dynamic multiscale system (DMS). The state equation at the finest scale is known, and the measurement equations at J scales are also known. There is one sensor distributed at each scale, and the sampling rate of which decreases by a factor of M. M-band wavelet transform is used to build the state space projection equation, and a new state space model that satisfies Kalman filtering condition is derived. Finally, Monte Carlo simulation results are given to obtain insight into the efficiencies offered by our model and algorithm.",
keywords = "Fine Scale, Gaussian White Noise, Measurement Equation, State Space Model, Time Block",
author = "Peiling Cui and Guizeng Wang and Quan Pan",
note = "Publisher Copyright: {\textcopyright} 2006, Springer-Verlag Berlin Heidelberg.",
year = "2006",
doi = "10.1007/978-3-540-37256-1_121",
language = "英语",
series = "Lecture Notes in Control and Information Sciences",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "933--938",
booktitle = "Lecture Notes in Control and Information Sciences",
}