摘要： 给出了一类动态多尺度系统基于Haar小波的序贯式最优估计算法,该算法具有较低的计算复杂度和较高的实时性,为多传感器信息融合提供了一种新的方法。仿真结果验证了这种方法的有效性。
关键词:
动态多尺度系统,
序贯,
Haar小波,
最优估计
Abstract: In this paper, a sequential optimal estimation algorithm based on Haar wavelet for dynamic multiscale system is presented. The proposed method is real-time, and its computational complexity is low. It is a new method tor multisensor information fusion. Experimental results are provided to verily its superior performances.
中图分类号:
崔培玲,潘泉,张磊,张洪才,李军宏,崔建锋. 一种新的动态多尺度系统最优估计算法[J]. , 2003, 29(19): 25-.
CUI Peiling, PAN Quan, ZHANG Lei, ZHANG Hongcai, LI Junhong, CUI Jianfeng. A New Optimal Estimation Algorithm of Dynamic Multiscale System[J]. , 2003, 29(19): 25-.