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说明：  精通matlab c++混合编程，第一章 (Proficient in matlab c++ mixed programming)

matlab一维码识别 利用radon算子做水平方向矫正(radon correct)

implementation of MLP neural network

用Pisarenko算法实现功率谱估计，可明显区分四个信号的峰值。(Pisarenko algorithm using power spectrum estimation, can significantly distinguish between the four signal peaks.)

基于随机矩阵理论的DET合作频谱感知算法.pdf(Evolutionary Design of Polymorphic Self-checking Circuits Based on Inputs Decomposition and Outputs Matching)

一种经典的加强学习算法，用贪婪的方式将收集的能量全部发出(an algorithm to reinforcement learning)

实现emd的分解并利用svm预测，最终得到太阳能的预测结果(Realize the decomposition of EMD and use SVM prediction, and finally get the prediction result of solar energy.)

CO-KRIGING WITH RANDOM METHOD. 随机结合克里金方法。在地学中有很大的应用潜力，比如建模及矿物分布估计。(a variant of cokriging, in which the mean values of the vector components are related by linear combinations with known coefficients. Equations for the cokriging predictor and for the variance–covariance matrix of prediction errors are presented. A set of computer programs is provided and illustrated with applications to mineral resources evaluation, in which the proposed cokriging variant compares favorably with traditional approaches.)

求解lyapunov指数，适用于一般的方程求解，是通用的函数方法源代码。(Solving lyapunov index for the general equation is a function of common method source code.)

才有matlab实现最优化理论的几个重要算法，分别是最速下降法，内点法，外点法，插值法(Matlab to achieve optimization theory have several important algorithms, namely, the steepest descent method, interior point method, external point method, interpolation method)