simOFDM1

一种基于脑电信号脑机介面（BCI）从设计，实时运行在Windows的标准组件(Design of an EEG-based Brain-Computer Interface (BCI) from standard components running in real-time under Windows)

说明：  数学建模最优路径问题及投资例题解答，通过matalb编程解决以上问题(Mathematical model interpolation algorithm, with the mathematical modeling, use of matble programming solve interpolation fitting mathematical modeling optimal path problem and investment examples solutions, through the matalb programming solve the above problem)

VC++实现vc调用matlab的程序的简单例子。vc6.0环境下测试通过。(VC vc call Matlab procedures simple example. Vc6.0 environment test.)

说明：  相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。 它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method. Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)

利用拉普拉斯变换的思想，通过对数据进行差分，近似得到拉普拉斯变换后的结果，然后检查正负交换的位置，则此为极值点位置，利用此思想得到极值点的位置。(Using the ideas of Laplace transform of the data by the difference approximation get results Laplace transform, and then check the position of the positive and negative exchange, this is the extreme position, take advantage of this thinking of getting extreme points location.)

遗传算法，基于matlab软件，优化天线方向图振幅(genetic algorithm, based on the software of matlab, and it can optimize the amplitude of antenna pattern)

说明：  LSB图像信息隐藏，能够用 LSB 算法对图像进行信息隐藏 能够用 LSB 提取算法提取隐藏进图像的信息(LSB image information hiding)

神经网络PID仿真程序,直接导入MATLAB就可以运行(PID neural network simulation program directly into MATLAB on the run)

Microsoft Windows 2008 - The Complete Reference. Reference manual from the basics.

Linear Equations. Gaussian elimination method