Histogram-specification

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.)

matlab代码实现手写体数字的识别，测试可用，识别率较高(matlab code for handwritten numeral recognition, the test is available, the recognition rate is higher)

the code for boundary extraction

2006年World Congress on Intelligent Control and Automation上的一篇水平集的文章，对于初始化介绍比较详细(2006 World Congress on Intelligent Control and Automation on a level set of the article, for a more detailed introduction to initialize)

KNN算法实现，初始化模糊成员等级 initialize fuzzy membership grades of sample output for fuzzy KNN(initialize fuzzy membership grades of sample output for fuzzy KNN)

该程序可以用于语音信号的倒谱运算，其他一维信号也适用(The program can be used for speech signal cepstrum computing also applies to other one-dimensional signal)

用matlab编程，rbf神经网络进行负荷预测的程序(Using matlab programming, rbf neural network load forecasting procedures)

UKF和EKF的仿真代码，以及UKF和EKF在性能上的对比。(Simulation code of the UKF and EKF, UKF and EKF performance comparison.)

lms自适应算法的均衡器的设计，包括详细的流程(lms adaptive equalizer algorithm design, including detailed process)

用MATLAB编程实现ISODATA算法的论文(Programming with MATLAB algorithm ISODATA papers)