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在工程应用中 经常会遇到一些复杂的非线性系统, 这些系统状态方程复杂, 难以 用数学方 法准确建模。 在这种情况下, 可以 建立 BP 神 经网 络表达这些 非 线 性系 统。 该方法把未 知 系 统看成是一个黑箱, 首先用 系 统 输入输出 数据 训 练 BP 神 经网 络, 使网 络能 够表达该未 知 函 数, 然后就可以 用训练好的 BP 神经网络预测系统输出 。 本章拟合的非线性函 数为 y = x1^2+x2^2. 。 (In engineering applications often encounter some complex nonlinear systems, which complicated the equation of state, can not be accurately modeled mathematically. In this case, BP neural network can be established to express these nonlinear systems. The method of the unknown system as a black box, the first input and output data with systematic training BP neural network, the network can express the unknown function, then you can use the trained BP neural network forecasting system output. Chapter for fitting non-linear function y = x1 ^ 2+x2 ^ 2..)

ML estimation for linear regression model

说明：  分数阶傅里叶变换的matlab代码，返回的是其幅值(The matlab code of fractional Fourier transform returns its amplitude)

变步长恒模盲均衡算法的FPGA实现,很不错的文章(Variable step-size constant modulus blind equalization algorithm realized on the FPGA)

基于maltab的卡尔曼kalman滤波器的实现(Kalman filter based on the realization of maltab)

介绍了支持向量机(SVM)中广泛采用的算法-分解算法 ,总结了其收敛性证明的 总体思路并对目前最流行的 SVM算法库LIBSVM进行了详细的分析与研究(Describes support vector machine (SVM) algorithm is widely used- decomposition algorithm, summed up the general idea of ​ ​ the convergence proof and the most popular SVM library LIBSVM algorithm carried out a detailed analysis and research)

matlab7.0教程 适合初学者使用的一本很好的书 里面有函数的详细介绍(a book for matlab7.0)

基于核分析的多类分类器，支持向量机的多类分类，适合研究学习，欢迎同行下载(Kernel-based analysis of the many types of classifier, support vector machine multi-category classification, suitable for study of learning, welcomed the peer download)

关于cuda计算,我认为很好。NVIDIA_CUDA_Programming_Guide_2.3.pdf(Calculated on the cuda, I think very well. NVIDIA_CUDA_Programming_Guide_2.3.pdf)

说明：  Matlab与VC混合编程实例，rar格式(Matlab and VC mixed programming examples, rar format)