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激光位移传感器测量齿轮的数据，在数据中进行特征点提取算法。(The laser displacement sensor measuring gear data, feature points in the data extraction algorithm.)

基于matlab的电力系统配电网IEEE9节点潮流计算，希望对大家有帮助(Matlab-based power system IEEE54 node flow calculation, we hope to help)

donwload from Matlab source code

dspace catlog for understanding

embedded development kit 9.1 user guide

一种具有提示功能的文本框，可以根据实际使用进行重新，具有很好的参考价值(A text box with prompts that can be re-based on actual use, a good reference value)

用MATLAB回归非线性模型参数,用MATLAB回归非线性模型参数(Linear regression model parameters with MATLAB)

基于matlab的指纹识别程序，能够完成指纹识别的功能，包括预处理，特征提取，匹配等特征(Matlab-based fingerprint identification process to complete the fingerprint features, including preprocessing, feature extraction and matching characteristics)

glide simulation for any model airplane

1.CAmodelfusion.m 主要功能： （1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计； （2）实现传感器的局部状态估计的SCC和CI融合算法的实现； （3）画出局部估计和两种融合估计的位置、速度、加速度的误差； （4）画出局部估计和两种融合估计的协方差椭圆。 2.CVmodelfusion.m 主要功能： 功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。 3.CovInter.m 主要功能： 寻找CI融合算法的融合估计的协方差阵的行列式最小的权值。 4.f_plot_ellipse_m.m 主要功能： 绘制四种估计的协方差椭圆 (1.CAmodelfusion.m main functions: (1) completion of two sensors each target state based on CA model of Kalman estimation (2) the realization of the sensor partial state estimation algorithm SCC and CI integration and (3) Draw Local estimated position and two fusion estimation, velocity and acceleration errors (4) Draw two fusion of local estimates and estimated covariance ellipse. 2.CVmodelfusion.m Main Features: a CAmodelfusion.m similar, the difference is that the estimated CV-based estimation and model integration. 3.CovInter.m main functions: Find fusion algorithm fusion CI estimated covariance matrix of the determinant minimum weight. 4.f_plot_ellipse_m.m main functions: Draw four kinds estimate covariance ellipse)