SVM-KMExample

用MATLAB产生M序列作为系统的输入，根据传递函数，仿真输出，并得出输入的自相关函数和输入输出的互相关函数。(M sequence generated by MATLAB as input, in accordance with transfer function, simulation output, and come to enter the auto-correlation function and the input and output of the cross-correlation function.)

Spatial Channel model examples

有限差分正演模拟，进行地震波正演，源码是科罗拉多矿业学院开发的。(Finite difference forward modeling for seismic wave forward modeling, the code is the Colorado school of mining .)

这是关于MATlab的一个PDF文档，这个文档清晰的给出了 Matlab的使用方法 (This is on the Matlab a PDF document, the document gives a clear use of Matlab)

matlab/simumatlab/simulinkSfunctionC文件例子源码linkSfunmatlab/simulinkSfunctionC文件例子源码ctionC文件例子源码(matlab/simumatlab/simulinkSfunctionC examples of source documents linkSfunmatlab/simulinkSfunctionC paper documents examples of ctionC example source code)

说明：   有一个长度为整数L(1<=L<=10000)的马路，可以想象成数轴上长度为L的一个线段，起点是坐标原点，在每个整数坐标点有一棵树，即在0,1,2，...，L共L+1个位置上有L+1棵树。 现在要移走一些树，移走的树的区间用一对数字表示，如 100 200表示移走从100到200之间（包括端点）所有的树。 可能有M(1<=M<=100)个区间，区间之间可能有重叠。现在要求移走所有区间的树之后剩下的树的个数。 输入： 两个整数L(1<=L<=10000)和M(1<=M<=100)。 接下来有M组整数，每组有一对数字。 输出： 可能有多组输入数据，对于每组输入数据，输出一个数，表示移走所有区间的树之后剩下的树的个数。(Has a length of integer L (1 &lt = L &lt = 10000) of the road, one can imagine a number line segment of length L, the starting point is the coordinate origin, each integer coordinate points in a tree, i.e. 0,1 , 2, ..., L total has L+1 L+1 positions on the tree. Now to remove some trees, tree removed by a range of digitally represented, such as 100 200 represents removed (inclusive) between 100 and 200 all the trees. There may be M (1 &lt = M &lt = 100) intervals, there may be overlap between the intervals. Now, after the number of trees require the removal of all remaining sections of the tree. Input: two integer L (1 &lt = L &lt = 10000) and M (1 &lt = M &lt = 100). Then there is an integer M groups, each with a pair of numbers. Output: there may be multiple sets of input data, for each set of input data, the output of a number indicating the number of the removal of all remaining sections of the tree after tree.)

motor model for realtime programming

《现代控制理论参考答案》，刘豹，唐万生版。现代控制理论参考答案(Modern control theory reference for the answer)

偏微分方程_编程 Routines in C, C++, Fortran, Java® , Maple® , and MATLAB(Ordinary and Partial Differential Equation Routines in C, C++, Fortran, Java® , Maple® , and MATLAB)

实现信号的SVD 分解,对信号中的奇异性进行监测，对突变信号点也可以很好监测(to complete the SVD for signals，Singularity of signal monitoring, signal monitoring point can be very good for mutations)