matlab-rumen

传输矩阵法计算啁啾光栅反射谱 本节中给出传输矩阵法计算啁啾光栅反射谱和 时延的完整M at lab 程序实例, 本段代码在 M at lab513 和W indow s2000 环境中运行通过。运行结果如图8 所示。可以改变光栅长度、有效折射率、折射率调制深度、啁啾系数等参数来获得不同参数下光栅反射谱和时延曲线。如果打开“％ 切趾”行的屏蔽符“％ ”则可得到切趾后光栅反射谱和时延特性曲线, 此时计算所得的曲线将比图8 中所示的曲线平滑很多。(Transfer matrix method to calculate reflection spectrum of chirped grating is given in this section transfer matrix method to calculate chirped grating reflection spectrum and the delay of a complete example of M at lab procedures, the above code in M at lab513 and W indow s2000 environment to run through. The results shown in Figure 8. Can change the grating length, the effective refractive index, refractive index modulation depth and chirp coefficient parameters to obtain different parameters of grating reflection spectrum and the time delay curve. If you open Apodization line shielding Fu can be grating after apodization reflection spectrum and the delay characteristic curve, the curve at this time will be calculated as shown in Figure 8 a lot of curve smoothing.)

模式识别,26个英文字母的识别，运行环境在matlab中(Pattern Recognition)

Handwritten digit recognition algorithm code with matlab.

均值移动meanshift的matlab源码，做这方面的朋友不妨试试。(Mean mobile meanshift the matlab source code, make friends in this area worth a try.)

基于小波分析理论实现的红外图像与可见光图像融合(Based on wavelet analysis theory of the realization of the infrared image and visible image fusion)

searching nearest neighbor in a network

DP Mixture Models实例程序，包含variational和Monte Carlo。(This is a matlab library for Gaussian Dirichlet Process Mixture Models (DPMMs). It includes both variational and Monte Carlo inference.)

说明：  主要实现数表建立，查找功能，实现对数据的管理(Mainly the number of tables to achieve the establishment of search functions, to achieve the data management)

遗传算法优化小波神经网络，代码通俗易懂，可以学习一下(Genetic algorithm optimization neural network, the code easy to understand, you can learn about)

基于python的二次开发案例。1、所有的代码均可以先在AbaqusCAE中操作一遍后再通过rp文件读取，然后再在此基础上进行相应的修改； 2、Python是一种解释性语言，读起来非常清晰，因此在修改程序的过程中，不存在程序难以理解的问题； 3、Python是一种通用性的、功能非常强大的面向对象编程语言，有许多成熟的类似于Matlab函数的程序在网络上流传，为后期进一步的数据处理提供了方便。(Python-based secondary development case)