产品详情
说明： 数据模型归一化，模态振动，各种kalman滤波器的设计，粒子图像分割及匹配均为自行编制的子例程，是路径规划的实用方法，通过反复训练模板能有较高的识别率，用MATLAB实现的压缩传感，模拟数据分析处理的过程，ICA（主分量分析）算法和程序。
( Normalized data model, modal vibration, Various kalman filter design, Particle image segmentation and matching subroutines themselves are prepared, Is a practical method of path planning, Through repeated training DrFVaEjlate have higher recognition rate, Using MATLAB compressed sensing, Analog data analysis processing, ICA (Principal Component Analysis) algorithm and procedures.)
( Normalized data model, modal vibration, Various kalman filter design, Particle image segmentation and matching subroutines themselves are prepared, Is a practical method of path planning, Through repeated training DrFVaEjlate have higher recognition rate, Using MATLAB compressed sensing, Analog data analysis processing, ICA (Principal Component Analysis) algorithm and procedures.)
文件列表：
thdmvbft.m,15187,2016-04-12
