OFDM-key-technologies

FSK调制与解调都有的详尽过程，并取点对误码率进行分析(FSK modulation and demodulation processes are detailed and take point on the bit error rate analysis)

高斯混合模型参数估计,EM算法,sunMOG.m为函数,testMOG4.m为测试程序(Gaussian mixture model parameter estimation, EM algorithm, sunMOG.m for the function, testMOG4.m for the test procedure)

说明：  基于kmeans，用于计算客户价值等(Based on kmeans, used to calculate customer value, etc.)

This book is a short, focused introduction to MATLAB, a comprehensive software system for mathematics and technical computing. It will be useful to bothbeginning and experienced users. It contains concise explanations of essential MATLAB commands, as well as easily understood instructions for using MATLAB’s programming features, graphical capabilities, and desktop interface. It also includes an introduction to SIMULINK, a companion to MATLAB for system simulation.

多功能时钟，有图以及程序代码，希望能有所帮助(Multi-function clock, there are maps and code, hoping to be helpful)

说明：  基于粒子群优化的无线MESH网信道分配算法通用MATLAB函.源码由GreenSim团队原创(PSO-based wireless MESH network channel allocation algorithm for general MATLAB function. GreenSim team from the original source)

自举是一种由重采样估计，独立和（蒙特卡洛重采样）等概率设置一个单一的数据统计变化的一个途径。允许的措施估计那里的潜在分布是未知的或者样本量很小。他们的结果与这些分析方法的统计特性相一致。 在这里，我们使用非参数逼近。非参数引导更简单。它不使用该模型的结构，建造人工数据。矢量[易西]是重采样，而不是直接与replecement。这些参数是从这些对构建。 二，回归模型时，应使用在回归方程中的两个变量是随机的，会有错误的，即不是由研究者控制。模式，我用普通最小二乘回归低估了变量之间的错误时，他们都含有线性关系的斜率。据索卡尔和罗尔夫（1995），模型二回归的主题是一对哪些研究和争论仍在继续，最终建议是很难做出。 BOOTGMREGRESS模型II是一个引导程序。这需要s引导和规范样品前坡计算变量。这两个变量的每个转化为具有零均值和标准差的一个。由此产生的斜率是线性回归系数的Y在X里克创造了这个词（1973）几何平均数并给出了一个模型II回归广泛审查。它也被称为引导标准的主要轴线(The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their results are consistent with the statistical properties of those analytical methods. Here, we use the Non-parametric Bootstrap. Non-parametric bootstrap is simpler. It does not use the structure of the model to construct artificial data. The vector [yi, xi] is instead directly resampled with replecement. The parameters are constructed from these pairs. Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both contain error. According to Sokal and Rohlf (1995), t)

非线性薛定谔方程的数值仿真，对于从事光纤通信传输方面的研究具有一定的参考意义。(failed to translate)

这是基于simulink的ofdm仿真程序， 毕业设计中用的 希望对大家有用(this is a OFDM simulation program based on simulink. and this is also my paper program. i hope that it is benefical to you！it can be used by matlab 2009)

线性回归算法,其功能是对一组数据进行分析预测,数据分为年度,月度,季度数据(Linear regression algorithm, and its function is to a group of data analysis and forecasting, data is divided into annual, monthly, quarterly data)