xiaodianzu_gaozujiedi

经验模式分解程序（简称EMD），在某些情况下比WAVELET TRANSFORM 和STFT分析效果要好，就是计算很费时间！(Empirical Mode Decomposition (EMD), In some cases than WAVELET TRANSFORM STFT analysis and better results. Computing is a great time!)

采用神经网络实现手写识别的一种方法，建立Bp神经网络，采用快速训练方法，可快速完成一类相关手写字体的模式识别，识别率较高，当字体变化较大识别率降低时，可重新训练具有较强的适应性。实验证实本方法较好实现了手写字符识别，但也存在识别速度较慢，有时训练不收敛等缺点(Handwriting recognition using neural network is a way to establish Bp neural network, using fast training methods, and can be related to the completion of a class of handwriting pattern recognition, recognition rate higher recognition rate when the font changed greatly reduced, they can re- Training has strong adaptability. Experiments confirmed that this method achieved a better handwritten character recognition, but there are also identified slow, and sometimes non-convergence of the training deficiencies)

Gabor滤波器，40个Gabor滤波器，可以立即实现的(Gabor filters)

用MATLAB实现随机网络、小世界网络、无标度网络的传染病模型(Using MATLAB random networks, small-world networks, scale-free networks of infectious disease model)

girachical cluster mat methid

说明：  求取大型稀疏矩阵的特征根和特征向量，适用于matlab6.1以上的环境(strike a large sparse matrix eigenvalue and eigenvalues above applies to the environment matlab6.1)

这个程序是通信系统的CRC校验，完成了这方面的功能(This program is communication systems CRC, to complete the function of this area)

李建等写的鲁棒自适应波束形成，电子书，pdf格式，英文版。介绍了各种自适应波束形成算法(Li and other written robust adaptive beamforming, e-books, pdf format, in English. Describes the various adaptive beamforming algorithms)

LagMatrix Function - matlab - Useful Econometrics Tool

MATLAB概率与数理统计分析（第2版）》以概率与数理统计的基本原理为线索，以matlab为辅助条件，分别介绍了概率与数理统计概述、统计估计、假设检验、方差分析、回归分析、正交试验分析、聚类分析、判别分析和多元数据相关分析等内容，理论与实践相结合，向读者演示了matlab在数理统计中的应用。 　　("MATLAB Probability and Mathematical Statistics Analysis (2nd edition)" is based on the MATLAB r2011 a, on the basis of the 1st edition, further introduced the MATLAB probability and mathematical statistics analysis. "MATLAB Probability and Mathematical Statistics Analysis (2nd Edition)" takes the basic principles of probability and mathematical statistics as the clue, and takes MATLAB as the auxiliary condition. It respectively introduces the outline of probability and mathematical statistics, statistical estimation, hypothesis test, variance analysis, regression analysis, orthogonal test analysis, cluster analysis, discriminant analysis and multivariate data. The application of MATLAB in mathematical statistics is demonstrated to the readers by combining theory with practice.)