transformation

PCA主成分分析算法的matlab实现，经过测试可以运行(PCA method in matlab)

In this session, I will focus on the gridding method for fast image reconstruction from non- Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of choice when reconstruction time is an issue. Other reconstruction techniques include rBURS [6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use gridding and inverse gridding as their core operation, so even when gridding is not the right solution for an application, an understanding of gridding can be useful. I will cover the main steps of the gridding algorithm and then discuss some implementation tips that can signicantly reduce the computation time. Finally, I will present some illustrations and viewpoints that I have found to aid in an intuitive understanding of the gridding method, which can be helpful when designing the density compensation function and judging the appropriateness of gridding as a solution for a particular application.

a complete program for calculating and plotting effective nuclear charge

user_manual for matlab simulink toolbox dsPIC microcontrollers

为sinudoidal模型的AIC阶估计.AIC信息准则即Akaike information criterion，是衡量统计模型拟合优良性的一种标准，又由于它为日本统计学家赤池弘次创立和发展的，因此又称赤池信息量准则。它建立在熵的概念基础上，可以权衡所估计模型的复杂度和此模型拟合数据的优良性。 在一般的情况下，AIC可以表示为： AIC=2k-2ln(L) 其中：k是参数的数量，L是似然函数。 假设条件是模型的误差服从独立正态分布。 让n为观察数，RSS为剩余平方和，那么AIC变为： AIC=2k+nln(RSS/n) 增加自由参数的数目提高了拟合的优良性，AIC鼓励数据拟合的优良性但是尽量避免出现过度拟合(Overfitting)的情况。所以优先考虑的模型应是AIC值最小的那一个。赤池信息准则的方法是寻找可以最好地解释数据但包含最少自由参数的模型。(AIC order estimation for sinudoidal model)

Labtest solution hanu fit

对于现有文件，实现lzw的编码与译码，注意各文件之间的联系(For existing files, the use of coding libraries, compile and interpret realize barcode)

利用卡尔曼滤波对遥感数据进行优化处理，可运行，只需加载相应数据(Kalman filter to optimize the processing of remote sensing data can be run, just load the appropriate data)

MRAC control with simulink

这是我学吉布斯采样时用的资料，Mabtlab文件是对当中的一个例子的重现。(This is the data I used when I learned Gibbs sampling,the Mabtlab file is the reproduction of an example in it.)