文件名称:multiScale_KalmanFilter
下载
别用迅雷、360浏览器下载。
如迅雷强制弹出，可右键点击选“另存为”。
失败请重下，重下不扣分。
如迅雷强制弹出，可右键点击选“另存为”。
失败请重下，重下不扣分。
介绍说明－－下载内容均来自于网络，请自行研究使用
用多尺度卡尔曼滤波法，对信号参数进行识别估计。高频信号和低频信号识别结合起来改进了算法识别的精确度和准确度。-It is an implementation of hierarchical (a.k.a. multi-scale) Kalman filter using belief propagation. The model parameters are estimated by expectation maximization (EM) algorithm. In this implementation, we considered two time series with different frequencies. The messages between high and low frequency signals are combined to improve the estimation and prediction.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
license.txt
multiScale_KalmanFilter
.......................\abstractsubformat-BME2012.pdf
.......................\Demo_KalmanFilter_BP_multiScale.m
.......................\EMConvergence.m
.......................\EMForMultiScaleKalmanFilter.m
.......................\eyeInf.m
.......................\GaussianDivision.m
.......................\GaussianMultiply.m
.......................\gaussian_prob.m
.......................\getCurrentZID.m
.......................\initializeMessage.m
.......................\inv_s.m
.......................\kalmanFilter_MultiScale.m
.......................\kalmanSmoother_MultiScale.m
.......................\linspaceInt.m
.......................\timeSeriesDataGeneration.m
.......................\updateMSGInLevel2.m
.......................\updateMSGToLevel2Backward.m