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最经典AdaBoost实现，适合初学，有大量详细的注释，容易理解(This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1 The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier" 。)

steepest golden section method optimization methods and algorithms

说明：  有脉冲干扰 下的柔性机械臂的模糊控制方法。采用神经网络训练出来的T—S模糊控制器，控制效果不错。只有仿真模块，没有文字说明。(pulse interference with the interference of fuzzy manipulator control methods. Using neural network training, the T-S fuzzy controller, control effectiveness. Only Simulation Module, there is no written statement.)

功率注水算法源代码功率注水算法源代码功率注水算法源代码(Power of water power injection method algorithm source code source code source code for power injection method)

用于接收机的载波同步，利用锁相环实现解调，用于相干解调(Carrier for receiver synchronization, phase-locked loop to achieve demodulation for coherent demodulation)

这是国外人写的一本逆合成孔径雷达雷达（ISAR）成像的基础书，文中每章后带Matalb编写的源代码，对于学习新手非常有用。 (It is written by a foreign foundation book inverse synthetic aperture radar radar (ISAR) imaging, the text written in the source code with Matalb after each chapter, very useful for beginners to learn.)

利用最小二乘法进行拟合多元非线性方程，微分方程组数值解方法，最小均方误差等算法的MSE的计算。( Multivariate least squares fitting method of nonlinear equations, Numerical solution of differential equations method, Minimum mean square error MSE calculation algorithm.)

用于服役桥梁结构静力参数识别的算法 Levenberg-Marquardt (L-M法) matlab源程序(the methods used to identify the service bridge structure static parameters--- LevenbergOMarquardt algorithm)

用于混沌时间序列自适应预测的一种稀疏Volterra滤波器-(Adaptive prediction of chaotic time series for a sparse Volterra filter-)

说明：  讲述VC++与MATLAB的接口编程，对于初学者有很大的帮助(On the VC++ and MATLAB programming interface, for there is a great help for beginners)