Fiber-Bragg-Grating-Filter

MATLAB实用程序百例 关于各种数学建模的算法(The MATLAB utility one hundred cases on a variety of mathematical modeling algorithm)

对原始的KMeans聚类算法进行改进，使得算法可以自动确定参数K值。(An improved KMeans clustering is proposed to determine the values of parameter K.)

本代码主要提供了在频域使用fastica进行盲源分离，并且解决了频域的排列和增益两个歧义性问题。(This code mainly provides the use of fastica in the frequency domain for blind source separation, and solves the frequency domain arrangement and gain of two ambiguity problems.)

分形课程设计编写的MATLAB仿真程序，代码里包含了mandbort和LOGISTIC、omvYvQ等几个集合图的小程序，还包括小波分型的kjJQLEC算法，分型布朗模型也调试通过。? (Fractal course design written in MATLAB simulation program, code contains the mandbort and LOGISTIC,omvYvQ , and several collections chart applets, including typing kjJQLEC wavelet algorithm, typing Brown model also through debugging. )

This is a code for comparison of 2-PAM, 4-PAM and 8-PAM. Generates a graph of each of the PAM on same figure, easily comparable. Code of 2,4 and 8-Pam included.

2维晶格高分子Monte Carlo动态模拟(Monte Carlo Simulation of 2D Lattice Polymerization)

实现枚举设备的功能，像window设备管理器一样的功能。简单使用，解决了很多程序员的苦恼问题(The achievement of enumerated devices, such as Device Manager window functions the same. Simple to use, a lot of programmers to solve the problem of distress)

DV_HOP 源码 大家相互学习…………………………………………………………………………(DV_HOP Source)

我从网上下载了一个GA－PSO算法，试着利用GA和PSO组合的策略进行优化，结果算法很问题，效率和不错。我下载原始算法，有一个问题就是它是针对所有的设计变量上下限都是一样的，所以我对程序进行了修改与改进，现在可以处理上下限不一致的问题，同时fix了一些bug。(GA GA and PSO algorithm matlab program combined ion group When doing optimization, first choose the GA algorithm, but the instability of the GA (or into a local optimum) it drives people crazy, even after twice the difference results can sometimes reach 30 or more, but because of time reason, I had to choose the optimal 1000, then the minimum of which the most optimal solution. Although the problem is considered solved, but will be from an academic, which makes Ben is very embarrassing. So, I downloaded a GA-PSO algorithm, try to use a combination of GA and PSO optimization strategy, the results of algorithm is the problem, efficiency and good. I downloaded the original algorithm, there is a problem is that it is the design variables for all upper and lower limits are the same, so I had to modify and improve the program, can now handle upper and lower limits inconsistencies, and fix some bug.)

Another wxample of viterbi alg. with simple example to learn