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采用双分集，实现FH系统的MONTE CARLO仿真(Dual-diversity, to achieve FH system MONTE CARLO Simulation)

这是一个粒子群优化算法在求函数极值方面的应用，以球函数为例，说明了PSO算法的可行性(Feasibility This is a particle swarm optimization algorithm to find function extreme aspects of the ball function to illustrate the PSO algorithm)

2d频域分析Spatial_Waves_in_2D_Frequency_Domain(2d frequency domain analysis Spatial_Waves_in_2D_Frequency_Domain)

这是一个用MATLAB做的基于矩特征的图像特征提取，值得借鉴-This is a done using MATLAB moment characteristics based on image feature extraction, is worth learning from(This is a MATLAB moment in image-based feature extraction, worth learn-this is a done using MATLAB moment characteristics based on image Feature Extraction, is worth learning from)

这是基于matlab的用户界面GUI的关于图像处理的源代码，这几段代码实现了GUI界面多种功能的图像处理，让我们对图像处理比书本文字有更为直观的感受。(Matlab user interface (GUI)-based image processing source code, which pieces of code to achieve a GUI interface for a variety of functions, image processing, image processing than the book text a more intuitive feel.)

该代码为遗传算法matlab代码，其中代码都附有详细说明(The code for the genetic algorithm matlab code, which is accompanied by a detailed description of the code)

这个matlab代码是对传统的常数模盲均衡算法的改进，有需要的朋友可以看看。(Matlab code improvement on the traditional constant modulus blind equalization algorithm, and can see a friend in need.)

说明：  营造卓越，分享学术的氛围！很好，欢迎大家学习，交流！(verygood！let we see！verygood！let we see！verygood！let we see！verygood！let we see！verygood！let we see！)

Its a IEEE Pesgm 08 paper.

金融数据分析的一个新的程序码 可应用于数据分析 价格以及期货指数估计 还可用于 几何布朗运动的模拟("An estimation technique for Time Indexed gaussian Mixture Models", we propose a model specification that can be used to describe data with spikes, jumps, mean reversion, geometric brownian motion, you name it... We then develop an estimation procedures to extract the parameters from data generated from this model. The original intent was to develop a model for electricity price spike, however it can be extended far beyond this. A more general extension of this basic idea using particle filtering is developed in another paper.)