mimo-ofdm-ber

著名科学软件平台Matlab（矩阵实验室）早期1.0版本for DOS(Eminent scientific software platform Matlab (Matrix Laboratory) early version 1.0 for DOS)

MATLAB新手学习常见的两百个问题，非常实用。(MATLAB novice learning common 200 problems, very practical.)

相关分析过程的matlab方法，利用最小二乘算法实现对三维平面的拟合，在matlab R2009b调试通过。( Correlation analysis process matlab method, Least-squares algorithm to fit a three-dimensional plane, In matlab R2009b debugging through.)

Sobel is a method of edge detection, matlab code

说明：  主要讲解偏微分方程组的离散方法，包括有限差分法，有限体积法(Mainly on the discrete method of partial differential equations, including finite difference method, finite volume method)

simulation OFDM by matlab 6.5.It s any bug

说明：  这是一本有关MATLAB的参考书，适合于使用MATLAB或正在打算使用MATLAB的读者。本书另辟蹊径可以借助或不借助MATLAB随带的文档资料让读者自学MATLAB。书中口语化的风格,使读者易于阅读。本书提供了读者精通MATLAB所需的工具。作为编程语言和可视化工具,MATLAB具有丰富的一系列功能,可解决工程、科学计算和数学学科中许多问题。本书的基本目的是通过向读者展示如何有效地使用这些功能来帮助读者增强工作能力。由于MATLAB交互式的性质,书中内容以举例方式来描述。在读者阅读本书的同时, 这些例子可以通过运行MATLAB而再现。(This is a reference book about MATLAB, suitable for use or are planning to use MATLAB MATLAB readers. This book can help open a new path, or without the aid of MATLAB documentation that comes with the reader learning MATLAB. Colloquial style of the book, the reader is easy to read. This book provides readers the tools needed to master MATLAB. As a programming language and visualization tools, MATLAB has a rich range of functions, solve engineering, scientific computing and mathematical disciplines, many of the problems. The basic purpose of this book by showing readers how to effectively use these features to help readers enhance the ability to work. As the interactive nature of MATLAB, the book by way of example, to describe the content. While the reader to read the book, these examples can be reproduced by running the MATLAB. )

基于角谱法衍射理论的近场菲涅尔衍射的模拟(Fresnel diffraction stimulation based on angular spectral method)

LTE 链路级仿真代码,其中还包含经典的跨层调度算法，非常实用。(LTE link level simulation code, which also includes classical cross-layer scheduling algorithm is very practical.)

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)