MATLAB_image_processing_code(2)

deep learning一般是学习的层次结构，它也是有一定理论依据的，即模拟人脑的大脑皮层工作，因为大脑皮层的视觉区域也是分层次工作的，越底层的视觉皮层对那些底层特征就越敏感。综上所述，feature learning有这么多应用需求的驱动和生物神经理论上的支持，注定它能够在AI领域中发挥一定的作用。一些实验表明，有些feature learning学习到的特征几乎比所有其它的特征效果要好，比如本文中的ISA模型就是其中一个。(deep learning hierarchy of learning, it is also a certain theoretical basis that simulate the human brain' s cerebral cortex, visual areas of the cerebral cortex is hierarchical work, the more the bottom of the visual cortex is more sensitive to those underlying characteristics . In summary, feature learning so many application needs the support of the drive and biological neural theoretically doomed it to be able to play a certain role in the field of AI. Some experiments show that some feature learning learning to feature almost better than all the other features of the effect of the ISA model such as this is one.)

说明：  基于ADABOOST的人脸检测程序，有分类器训练和测试(face detection based on adaboost)

优化算法程序包。有lm方法， smarquart法，等等。(Optimization package. Have lm, smarquart law.)

是本数学建模工作室的学长留下来的元胞自动机程序，各位共同讨论(Cellular automata is the mathematical modeling studio seniors left the program, you discuss)

用c#编写了一套FIR窗口滤波器，其中数据段的提取来自于matlab的混合编程(Written in c# a FIR filter window, including data extracted from the mixture of matlab programming)

最优化算法中的带Armijo搜索求步长的拟牛顿算法的源码，matlab编程实现，希望对大家有用。(Optimization algorithm with Armijo search seeking step quasi-Newton algorithm source code, matlab programming, and hope to be useful.)

自适应滤波器程序，选用电力系统谐波信号作为输入。其中包括了wiener滤波器，kalman滤波器，LMS算法，RLS算法，LSL算法，FTF算法。所有程序均为本人自编，并且标注了编程所参考的书籍及页数，经过调试，完全正确，请放心使用。(Adaptive filter procedures, selection of power system harmonics signal as input. Including the wiener filter, kalman filter, LMS algorithm, RLS algorithm, LSL algorithm, FTF algorithm. All Programs are my own, and marked by a programming reference books and pages, after debugging, completely correct, please rest assured that use.)

采用extendedkalmanfilter进行状态估计（电池常电流放电电量）(For state estimation using extended kalman filter)

用matlab编写的雅克比方法求解线性方程组：数值分析中很经典的代码(a procedure of jacobi diedai)

迭代最近点算法的一个简单实现，并使用了两个二维点集进行测试(an implementation and validation for the data association of two 2d point sets based on iterative closest points)