MATLAB-TIME

关于遗传算法的博士论文，从matlab中文网上下下来的(Doctoral thesis on genetic algorithms)

短时傅里叶变换可以用差分模式来实现，对书上的运算式做了稍许的改变。改变-计算差分序列的第一列数据时用的是第一列的元素减去当前行的最后一列元素。原算法中采用的是第一列元素减去下一行第二列元素。原算法加窗之后结果比较好，不加窗时结果误差很大，而改变之后的算法不加窗效果依然很好。(Short time Fourier transform can be used to achieve the differential mode of expression on the book made a slight change. Change- calculating the difference sequence of the data with the first column is the first column of the matrix by subtracting the current element in the last column of row. Is used in the original algorithm subtracts the elements of the first column of the next row and the second column elements. After the results of the original algorithm windowed better, when the results window without great error, and after changing algorithms no window effect is still very good.)

omnet++4.0实现的WSN中Leach算法，可以运行，200*200的区域中分布了400个节点(Leach algorithm in WSN omnet++ 4.0 to achieve, you can run.In the region of 200 * 200 distributed 400 nodes)

气候分析中检验突变的经典程序，如滑动t检验，cv，滑动f检验等(Climate Analysis classic mutation testing procedures, such as sliding t test, cv, sliding f inspection)

matlab gui..................(matlab gui.........................)

关于lms的matlab仿真图，以及改进算法(Lms matlab simulation on the map, and the improved algorithm)

Iterative closest poin in MATLAB

一个关于LDA算法的简单介绍和相关例子。(A brief introduction on the LDA algorithm and examples.)

Matlab中erf(x)函数的表达式是怎样的，erf(x)与标准正态分布函数之间的关系是怎样的，怎样自己编制一个计算标准正态分布函数数值近似值的函数，如何利用matlab自带的erf(x)函数包近似计算标准正态分布函数的值，数值计算值与用erf(x)转化求得的值之间的相对误差是怎样的。(将中文译成英语 Matlab, erf (x) function expression is what, erf (x) the standard normal distribution function and the relationship between what and how to prepare their own calculation of the standard normal distribution function a value function approximation, how to use matlab comes with erf (x) function package approximate standard normal distribution function values??, numerical values ??and with erf (x) between the values ??obtained into the relative error is like. )

linear programing demo. An easy example in matlab. Very easy to follow this demo.