stressfreehole

说明：  最优多用户检测，即最大后验概率的算法，主要是用于多用户检测中(Optimal multi-user detection, that is, maximum a posteriori probability algorithm, mainly used for multi-user detection)

用遗传算法针对对为变量进行优化设计，使得目标函数达到最优解(Genetic algorithms for pairs of variables to optimize the design, the objective function to achieve the optimal solution)

以EVC和MATLAB作为仿真运算工具，通过EVC和MATLAB编程建立TCP通信的客户端，用VB建立通信的服务器，通过此服务器的桥梁作用实现ARM与MATLAB的TCP通信，在此通信的前提下开发控制系统。(EVC and MATLAB simulation to computing as a tool, and MATLAB programming by EVC to establish a TCP communication client, the server to establish communication with VB through this server as a bridge to achieve ARM and the MATLAB TCP traffic, the premise of this communication development control system.)

均匀球形粒子的Mie理论散射光强计算程序： 1．RB1.m 计算第一类Ricatti-Bessel函数的函数 2．RB2.m 计算第二类Ricatti-Bessel函数的函数 3. Alegendr.m 计算角函数 和 的函数 4. MieCoeff.m 计算米尔系数的函数 5. Amp.m 计算散射光复振幅的函数 6. MieIntensity.m 画均匀粒子散射角-光强图 (Uniform spherical particle Mie theory scattering intensity calculation procedures: 1. RB1.m calculate the first class Ricatti-Bessel function of the function 2. RB2.m calculate the second category Ricatti-Bessel function of the function 3. Alegendr.m computing angle functions and function 4. MieCoeff.m Mill coefficient calculation function 5. Amp.m calculate the scattering amplitude recovery function 6. MieIntensity.m Painting uniform particle scattering angle- light intensity diagram)

matlab work of matrix converter.......................

提供一种新型自适应滤波器的设计方法，能自由设计参数！(To provide a new type of adaptive filter design methods, design parameters can be freely!)

ImportAgilentBin reads the Agilent Binary Waveform filetype.

支持向量机原理与仿真 (Support vector machine theory level simulation)

随机快速算法与确定性快速算法的比较,可设置数组大，小包含有实验报告(Fast Algorithm for Stochastic Fast Algorithms and certainty, you can set an array of big and small contain Experimental Report)

测试文本，选用著名的gettysburg这篇英文文本做为测试文本(Second, it fuses the features of the first singular value component and the second one, and then gets the complex feature vectors which reflect not only the statistic frequency but also the sequential structure of letters. In the end, the cosine similarity of texts is used to measure the similarity between the query and documents.)