lobe

根据给定时间序列求混沌特征参数的相关算法。(Chaotic Parameters given time series seeking algorithm.)

信号估计仿真，线性最小误差估计的仿真。《随机数字信号处理》的实验与实践教学部分(Signal estimation simulation, simulation of linear minimum error estimation)

matlab fir LPF least square error with zeroa weighted

一个提取图象的elbp特征的程序，非常实用，效果也不错(A feature extraction procedure elbp image, very practical, with good results)

简单二元线性回归代码，可用于探讨应变量与自变量之间的关系(Simple linear regression of binary code, can be used to explore the variables and the relationship between the independent variables)

Expectation Maximization (EM) Algorithm for Gaussian Mixture Model

These are knn algorithm documentations...

在matlab上实现卡曼滤波器的基本功能，分五个基本步骤，运行程序无误，已测试。(Kalman filter in matlab to achieve the basic functions, divided into five basic steps, run the program correctly, has been tested.)

RF TRANSCEIVER BLOCKSET IN MATLAB

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)