Gailv_Suiji_Simulation

这个主要是提取特征之后利用LDA线性分析来进行多类分类，采用一对多策略。本例中是有六个类别(multiple patterns recognition using LDA, which is about one-vs-rest)

matlab仿真Markov机制转换模型(The Markov Regime Switching Package for Autoregressive Models)

说明：  扩展卡尔曼滤波算法锂离子电池SOC估计中有较广泛的应用，其精度高，鲁棒性好，算法简单(The extended Kalman filtering algorithm has a wide range of applications in SOC estimation of lithium-ion batteries, with high accuracy, good robustness, and simple algorithm)

说明：  matlab向dsp传递.dat文件的方法，很经典。(dsp matlab to pass. dat file method, it is classic.)

可用于图像处理，提取图像中隐藏信息，并对图像进行修改(Can be used for image processing, extracting images hidden information, and modify images)

说明：  贝叶斯压缩感知 用于稀疏信号重建，基于贝叶斯理论(Adaptive compressive sensing, Bayesian model selection, compressive sensing (CS), experimental design, relevance vector machine (RVM), sparse Bayesian learning.)

M函数vistformfwd建立点的栅格内容 函数vistformfwd也可用于直观的仿射变换(M vistformfwd establish point grid function content)

the leach protocol in wireless sensor network

说明：  蒙特卡洛算法的例程，包含所需的全部相关程序(Monte Carlo algorithm routine)

使用SRUKF（平方呢无迹卡尔曼滤波算法）进行双星编队的轨道状态的估计，并且分析了不同编队构形的可观测性(square-root unscented kalman filter was designed to accomplish the optimal estimation of double satellite. )