Fractional Differential Equations

在混合高斯模型参数估计方法上有很多方法，例如最大似然函数的EM算法，但是该算法容易出现过拟合，故本文提出了一个变分EM的算法来对参数进行估计，可以避免EM算法中的不足。 下面的示例文件中说明了使用下面的示例文件说明了用法 examplevbem，VBEM M示例文件 faithful.txt数据集为例(The parameters of Gauss mixture model estimation method has a lot of methods, such as the maximum likelihood function of EM algorithm, but the algorithm is prone to overfitting, so this paper proposes a variational EM algorithm to estimate the parameters, can avoid the shortcomings of the EM algorithm in the. The following example file illustrates the use of the following sample file Examplevbem, VBEM, M sample files Faithful.txt data set as an example)

计算器 能够分析表达式,看看吧,很有用的,用能挺强的,(Calculator can analyze the expression, and have a look, it s very useful and can be quite strong,)

说明：  实现运算符的重载，有很多常用的运算符，很重要(五)

对斐波那契数列取余，输入长度，输出取余结果。(Redundancy of Fibonacci Sequences)

C#实例程序源码，是初学者学习的很好的例子。(C# example program source code, is a good example for beginners to learn.)

建立哈夫曼树，对文件进行哈夫曼编码，达到对文件进行压缩的功能(Building Huffman tree, Huffman coding for files, to achieve the function of compressing files)

说明：  对IQ接收器最重要的两个参数,即I和Q两路分量之间的幅度一致性和相位正交性,可采 用如下办法计算:把I、Q 两路信号分别作FFT ,找出频域内信号的幅度,即可算得两路分量的幅度一 致性 把I、Q两路信号合成一个复数信号,作FFT ,对得到的频谱求镜像抑制比(即频域内的信号与信号镜像的幅度比) ,通过镜像抑制比和幅度一致性,可求出接收机的I和Q两路分量之间的相位正交性。(IQ receiver for the two most important parameters, namely I and Q components of two-way consistency between the amplitude and phase orthogonality may be adopted calculated using the following method: to I, Q 2 signals, respectively for FFT, to find a frequency domain signal amplitude, can be considered as two-way component caused by the range of 1 the I, Q 2 signals into one complex signal for FFT, the spectrum demand of the received image rejection ratio (ie, frequency domain signal and magnitude of the signal mirror ratio), through the image rejection ratio and extent of consistency, the receiver can be derived I and Q phase between the two-way component orthogonality.)

说明：  新标准C++程序设计教程/重点大学计算机专业系列教材配套习题解答(New Standard C++ Programming Course/Solutions to Exercises in Computer Series Textbooks of Key Universities)

说明：  基于BP_Adaboost的强分类器设计——公司财务预警建模(Design of strong classifier based on BP AdaBoost -- financial early warning modeling of company)

这是STL(标准模板库)学习的经典书籍,书中大量详细的剖析了STL的源码,相信认真读过这本书的读者用STL进行编程的能力会有很大提高(STL (Standard Template Library) learning the classic books, book a lot of detailed analysis of the source of STL, I believe carefully read this book readers with STL programming capacity will be greatly improved)