Lab6

卡尔曼滤波实例，最基础的卡尔曼滤波，适合初学者(Kalman filter instance, the most basic Kalman filter for beginners)

Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (LARS) and elastic net (LARS-EN) regression. There also exists a method for calculating principal components with sparse loadings. This software package contains Matlab implementations of these functions. The standard implementations of these functions are available as add-on packages in S-Plus and R. Keywords LASSO, LARS, SPCA, Matlab, Elastic Net, Sparse, Sparsity, Variable selection

拉格朗日插值和牛顿插值matlab算法，对Excel中的数据进行异常值处理，然后插值拟合，得到较好的结果。(Lagrange interpolation matlab algorithm)

This code generates a PN sequence...

Programming Exercise

静止无功发生器的仿真图形，证明其工作原理(STATCOM simulation graphics to prove it works)

Generatind dabechies wavelet using brute force algorithm

功能强大的多圈兰伯特轨道转移程序，而且还可以选择顺时针或逆时针轨道转移，本人轨道计算时使用的程序。(Powerful multi-turn Lambert orbit transfer programs, but you can also choose clockwise or counterclockwise orbit transfer, orbital calculation program I use.)

matlab图像处理实例详解chap5——图像增强技术(matlab image processing example explanation chap5- image enhancement technology)

基于matlab的关于遗传算法的一些重要的函数的m文件，供读者参考 (Based on some of the important matlab m file on genetic algorithm function for readers reference)