dynamic-meterology(5_9chapter)part-2

buck电路，元器件是IGBT，最简单的实例(buck circuit, components are IGBT, the simplest example of)

Matlab toolbox wave 3example小波计算,希望对大家有用(Matlab toolbox wave 3example Wavelet basis, everyone would like to be useful)

This is matlab implementation for finding shortest path by using simulated annealing

差分方程求解 实验步骤： 主界面下进入实验五的“差分方程求解”子系统,输入希望看到的输出样点数 输入差分方程系数向量 输入顺序为：，。其中 N+1 为差分方程两边系数最大数目，如果有一边输入系数个数小于 N+1，将按不足系数为零计算。 输入系统初始状态向量 输入顺序为 鼠标单击确定按钮，以数值和图形两种方式显示单位冲激响应和输出响应 3） 确定差分方程形式：y(k)-y(k-1)+0.35y(k-2)=2x(k)-x(k-1)，(Experimental steps for solving differential equations: the main interface into five experimental " differential equation" subsystems, would like to see the output of input sample points difference equation coefficient of input vector input sequence as follows:,. One of N+1 differential equations for the maximum number of factors on both sides, if there is one less than the number of input coefficient of N+1, the calculation will be less than zero coefficient. Initial state vector input system for the importation of the order of the mouse button to click OK to both numerical and graphical display unit impulse response and output in response to 3) to determine the form of differential equation: y (k)-y (k-1)+0.35 y (k-2) = 2x (k)-x (k-1),)

这个是霍夫曼编码的问题，要求输入只含有ABCD的四句话，且每句8个字符的长度，然后求出四个字符每个的概率，然后当成权值计算霍夫曼编码，我的这个程序已经实现了输入、概率统计、计算出霍夫曼编码存在了bian[]这个数组中(hoffuman decoding)

pca based face recognition

这是一篇介绍matlab函数使用手册的文章，通过它可以快速查找函数的功能等。(This is a matlab function to introduce the use of manual article, which can quickly find the function function.)

fft calaculation of dc-dc signal

Decision region vector For the decision region Number of bins for the data Percentage of incorrectly assigned samples at a nod Unknown command option This function recieves a parameter vector and returns it s components The parameter vector is completely numeric. This is much simpler Percentage of incorrectly assigned samples at a node

粒子滤波对数据的预测与跟踪能力，对电池剩余寿命的预测(Prediction and tracking ability of particle filter for data)