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极值理论中各种函数及图像的程序。matlab实现。(Extreme Value Theory in a variety of functions and process images. matlab achieve.)

Matlab辅助激光光学分析与应用 作者：刘良清 单 位：武汉凌云光电科技有限公司 给出了高斯型激光束的干涉,衍射,和波前畸变等各种物理过程的MATLAB的代码 每个代码都有很细致的解说,测试过了都可以用.(Matlab assisted analysis and application of laser optics: Liu Liangqing Unit: Optoelectronics Technology Co., Ltd., Wuhan Lingyun given Gaussian laser beam interference, diffraction, and wave front distortion and other physical processes of the MATLAB code for each code has a very detailed explanation, the test passed can be used.)

使用matlab/simulink对锁相环进行了仿真研究(Matlab/simulink simulation study of phase-locked loop)

MATLAB 工具箱，可用于惯性导航的常用模拟，包括器件误差、平台误差、纯惯导解算、惯导与GPS融合、惯导与DR融合、初始对准等滤波算法(Filtering algorithm MATLAB toolbox can be used to simulate conventional inertial navigation, including device error, error platform, Inertial Navigation solver, INS and GPS integration, integration of INS and DR, initial alignment, etc.)

说明：  此代码通过模拟退火算法优化BP神经网络进行汇率预测(This code optimizes BP neural network to predict exchange rate by simulated annealing algorithm)

在这篇文章中，我们给出了非线性脉冲和孤子耦合的理论，它包含了2阶3阶色散，模间色散，损耗增益，色散不匹配，高阶非线性等等。文章主要说明了几个非线性耦合的基本问题： 非线性脉冲耦合行为主要依赖于参量Lcd （色散长度乘耦合系数），而不是输入脉冲形状，因而，孤子，高斯脉冲以及类高斯脉冲表现出同样的开关特性。根据Lcd, 耦合器可分为三个工作区，每个区有自己独特的耦合行为。一个脉冲是否表现为连续波的耦合行为还是超快脉冲的耦合行为，决定于Lcd 而不是脉宽。 我们显示0.8皮秒的脉冲也遵从连续波的方程和耦合行为， 可以当连续波一样来分析。(study input peak power vursus output total power for different Lcd, P~P CURVES )

Contains the matlab routines to estimate a univariate markov switching multifractal model of calvet and fisher 2004

地球物理大地电磁测深的正演代码，包含了有限差分、有限元等(magnetotelluric 2D forward finite element program)

两个相控阵天线时域波的传播不同阶段主要表现不同(In this code, the time domain wave propagation for two phased array antennas at different phase differences are shown. Thanks to the constructive and destructive interferences, the main beam of the wave is steered towards angle of interest. This code is used to generate the following animation: )

machine learning 方面有关于Generalization and Bayesian Introduction的资料，语言是python(machine learning aspects of information concerning Generalization and Bayesian Introduction, language is python)