PVmodule

《通信系统建模与仿真》书中多径时间信道的仿真实例()

一个基于BP神经网络预测的matlab小程序，可以参考一下(based on an artificial neural network to predict the Matlab small procedures that will make reference to)

克里金法广泛地应用于地下水模拟、土壤制图等领域，是一种很有用的地质统计格网化方法。它首先考虑的是空间属性在空间位置上的变异分布．确定对一个待插点值有影响的距离范围，然后用此范围内的采样点来估计待插点的属性值。该方法在数学上可对所研究的对象提供一种最佳线性无偏估计(某点处的确定值)的方法。它是考虑了信息样品的形状、大小及与待估计块段相互间的空间位置等几何特征以及品位的空间结构之后，为达到线性、无偏和最小估计方差的估计，而对每一个样品赋与一定的系数，最后　进行加权平均来估计块段品位的方法。(Kriging is a technique that provides the Best Linear Unbiased Estimator of the unknown fields (Journel and Huijbregts, 1978 Kitanidis, 1997). It is a local estimator that can provide the interpolation and extrapolation of the originally sparsely sampled data that are assumed to be reasonably characterized by the Intrinsic Statistical Model (ISM). An ISM does not require the quantity of interest to be stationary, i.e. its mean and standard deviation are independent of position, but rather that its covariance function depends on the separation of two data points)

这是matlab用户手册，对于初学者很有益，里面涉及到各个方面，很有价值的参考资料。(This is a matlab user manual, very useful for beginners, which relate to various aspects valuable reference.)

说明：  包含卷积码众多资料，并附matlab软件的源码(Convolutional code contains a number of information, with the software source code matlab)

最大流最小截问题，用ｍａｔｌａｂ编写的，ｒａｒ中有说明，较清晰(Maximum flow minimum cut problem, written with matlab, rar have stated more clearly)

说明：  C++ 匿名管道程序测试源代码，定义结构体SECURITY_ATTRIBUTES变量，填充结构体中的各成员，创建匿名管道，定义并初始化结构体，填充结构体中的各个成员，从匿名管道中读取的数据等。 (C++ source code program testing anonymous pipe, SECURITY_ATTRIBUTES variables defined structure, fill in the structure members, create an anonymous pipe, define and initialize the structure, filling in the structure of each member to read from the data in anonymous pipe and so on.)

Emergency System in Power Substation

一个计算光纤陀螺速率斜坡系数、速率随机游走系数、零偏稳定性、角度随机游走系数、量化噪声系数的matlab程序(A calculation of the slope coefficient of fiber optic gyro rate, rate random walk coefficient, bias stability, angle random walk coefficient quantization noise figure of the matlab program)

Spread Spectrum Watermarking MATLAB