基于多尺度随机模型的多尺度数据综合算法

Multiscale Data Synthsis Algorithm Based on Multiscale Stochastic Model

通过对小波变换综合形式进行分析与概括 ,建立起基于尺度变量的随机动态模型 ;针对在不同尺度上拥有不同特征的传感器 ,研究基于上述随机模型的目标状态的多传感器数据最优预测、滤波和平滑估计问题 ,其估计值是对不同尺度上 (含有不同观测噪声 )不同观测量值的综合。

Multiscale stochastic dynamic model is established using analyze and generalize the synthsis form of wavelet transform, and the multi sensor data optimal predicated and filtered and smoothed estimate is studied based on different sensor at different scale, the estimate is the synthsis of different measure at different scale.