ch9

有限差分法 微分方程和积分微分方程数值解的方法。基本思想是把连续的定解区域用有限个离散点构成的网格来代替， 这些离散点称作网格的节点；把连续定解区域上的连续变量的函数用在网格上定义的离散变量函数来近似；把原方程和定解条件中的微商用差商来近似， 积分用积分和来近似，于是原微分方程和定解条件就近似地代之以代数方程组，即有限差分方程组 ， 解此方程组就可以得到原问题在离散点上的近似解。然后再利用插值方法便可以从离散解得到定解问题在整个区域上的近似解。 (Finite Difference Method Numerical solution of differential equations and integro-differential equation approach. The basic idea is to set a continuous solution of the region with a finite number of discrete points instead of a grid consisting of, these discrete points called grid nodes the solution of a continuous area on a given function of continuous variables used in the definition of discrete grid variable function approximation the original equation and boundary conditions in the micro-business operators to approximate differential, integral with the points and to approximate, so the original differential equations and boundary conditions are replaced by algebraic equations near Side, that is, finite difference equations , solve this equation group can get the original problem in discrete points on the approximate solution. And then using interpolation methods can be determined from the discrete solution of the problem solution of the approximate solution on the entire region)

次程式碼主要是藉由Copula模型為CDO商品訂價.(This program use for CDO pricing.)

GOOGLE的图像检索程序，应用MATLAB编写，简单易懂，适用于初学者(GOOGLE image retrieval procedures, using MATLAB to prepare, easy to understand for beginners)

说明：  空间域和DTC域的图像水印技术及其算法的研究(Space domain and DTC domain image watermarking technique and its algorithm)

有偏卡尔曼滤波器实现，可以用来消除无线定位中的非视距误差(Biased Kalman Filters can be used to eliminate wireless location in NLOS error)

这是主成分分析的matlab源程序，用于故障诊断的特征提前，请大家使用(This is original program of matlab，and it can be used for fault diagnosis.Welcome to used it.)

step up cycloconverter

susan算法 matlab程序 图像边缘提取 分割算法(susan algorithm matlab program image edge extraction segmentation algorithm)

黄金分割法，附带说明，程序可直接运行,,有实例说明，是数值最优化方面的(Golden section method, with instructions, the program can be run directly)

The PAPR of QAM system is plotted against Complementary cumulative distribution function