turbo_code

自适应lms算法的程序 最后三张图包括系统输入输出图，实际和估计权值的比较 误差曲线(Lms adaptive algorithm for the procedure, including the last three map system input-output map, the right of the actual and estimated values of the error curve)

说明：  matalb应用在工程数学应用和他的一些符号数学工具箱(matalb used in engineering mathematics application and some of his Symbolic Math Toolbox)

精通MATLAB最优化计算，龚纯 王正林(Proficient MATLAB optimization calculation)

ADRC的主程序。包括跟踪微分器，扩张状态观测器以及非线性反馈环节的程序(ADRC main program. A program for tracking a differential device, an extended state observer and a nonlinear feedback link)

经典最大二维熵分割法，已经通过验证 运行效率极高(Classic maximum entropy partition method has been validated high efficiency)

提供matlab信号处理的几个典型示例，含系统响应、傅里叶变换、滤波器设计等(signal processing examples using matlab)

根据一组样本数据的均值和协方差矩阵随机产生正态分布以及对数正态分布的任意规模的样本数据。(According to a set of sample data mean and covariance matrix randomly generated normal and lognormal distribution of the sample data of any size.)

2012年研究生数学建模大赛 D题 第一问 地球的显示的代码 MATLAB代码(Graduate Mathematical Modeling Contest D Earth in question first asked in 2012 the code displayed MATLAB code)

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)

实现QPSK调制方式 通信matlab仿真中发送端的四相载波调制 (QPSK modulation to achieve communication matlab simulation in the sender' s four-phase modulation)