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作者曾经实现过将matlab函数编译成dll供Cpp调用，这篇文章的目的是对新增的面向对象的的扩展mwArray进行讲解，matlab很容易和C/C++联合起来使用。 以前做过matlab7与c++的混合编程：将matlab函数编译成dll给C++调用，从而加快开发的进度。但是今天在matlab2008b下面又做了一遍，发现matlab又改了很多东西，诸如增加了面向对象的的扩展mwArray，于是做笔记如下。(matlab_dll_Cpp)

matlab程序设计与应用，此书很通俗易懂，由浅入深，学习matlab的好资料(matlab program design and application, this book is very easy to understand, Deep and good information to learn matlab)

Checkbox and Radio button example

灰色预测gm（1-1）算法，用于短期时间序列预测，包含残差检验等各种必要检验(Gray predicted all the necessary inspection gm (1-1) algorithm for short-term time series prediction, including residuals inspection)

是一种在线序列OS-ELM算法的MATLAB程序，可参考论文A Fast and Accurate Online Sequential Learning。(matlab codes for OS-ELM(Online Sequential ELM))

使用LPCC参数来生成源滤波器模型的的线性预测系数(LPCC parameters to generate the linear prediction coefficients of the source filter model)

实验一 双极性矩形随机信号的归一化功率谱密度一 1.1 功率谱密度简介 平稳过程的任何一个非零样本函数的持续时间为无限长，显然都不满足绝对可积和总能量有限的条件。因此，它的傅里叶变换不存在即没有频谱函数。所以我们用功率谱密度来表述其频谱特性。 随机过程的任一实现是一个确定的功率型信号。而对于任意的确定功率信号f(t)，它的功率谱密度为： 式中， 是f(t)的截短函数 对应的频谱函数。f(t)是平稳随机过程 的一个实现。而随机过程某一个实现的功率谱密度不能作为过程的功率谱密度。过程的功率谱密度应该看作是任一实现的功率谱密度的统计平均，即 虽然该式给出了平稳随机过程的功率谱密度，但我们通常都不利用这个式子来计算功率谱。我们知道，确知的非周期功率信号的自相关函数与功率谱密度是一对傅里叶变换。对于平稳随机过程，也有类似的关系，即 和 对于平稳随机过程我们通常先求出其自相关函数再利用上式求出其功率谱密度。 1.2 实验要求  1.了解平稳随机信号功率谱的概念及计算方法  2.仿真不同占空比，等概、非等概双极性矩形随机信号的归一化功率谱密度  3.分析不同信号所包含的频谱分量，有无直流分量和定时分量信息 (A pair of rectangular random experiment polarity signal sample return a nonzero function of any duration power spectral density of a 1.1 power spectral density of a stationary process Introduction of infinite length, apparently not satisfied absolutely integrable and the total energy of the limited conditions. Therefore, it is the Fourier transform of the spectrum that does not function does not exist. Therefore, we use the power spectral density to express their spectral characteristics. Any random process is a realization of a certain type signal power. For arbitrarily determined power signal f (t), its power spectral density is: wherein, is f (t) is a function corresponding to the truncated spectrum function. f (t) is a stationary random process of realization. The random process to achieve a certain power spectral density can not serve as the power spectral density of the process. Power spectral density process should be seen as a statistical average power spectral density of any r)

matlab编写的电压稳定分析程序，电力专业必备(matlab prepared procedures for voltage stability analysis, power professional must)

The goals of writing this book are (1) to provide the reader with simple, easy, hands-on introduction to MATLAB (2) to demonstrate the use of MATLAB for solving electronics problems (3) to show the various ways MATLAB can be used to solve circuit analysis problems and (4) to show the flexibility of MATLAB for solving general engineering and scientific problems.

显示hello的matlab源代码 几句matlab的代码(Hello, matlab source code shows a few matlab code)