eg16-fabingyuce

generates a fading signal where a direct (LOS) component is present Rician channel

Bode plot for discrete-time system

MATLAB及其在理工课程中的应用-课程讲义第一章和第二章，包含主要函数与命令文档，方便编程时学习和查找(MATLAB and Its Application in Engineering Course- Course Training Manual Chapters I and II, contains the main function with command documentation to facilitate programming to learn and find)

LSB used in watermarking for embedding

Ky thuat ghep kenh theo khong giam.

IOSDATA & kmean的模式识别分类的实现代码，属于原代码，编程语言MATLAB。(The realization of iosdata&Kmean pattern recognition classification code, belonging to the original code, the programming language is matlab)

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)

覆盖程序，相关问题参加粗糙集条件属性约简程序，相关问题参加粗糙集条件属性约简程序，相关问题参加粗糙集(fugai)

Graph-Based Segmentation 是经典的图像分割算法，该算法是基于图的 贪心聚类 算法，实现简单，速度比较快，精度也还行。(Graph based Segmentation is a classical image Segmentation algorithms, the algorithm is Based on the figure of greedy clustering algorithm, speed is faster, and easy to implement precision is also ok.)

iris recognition iris gamma adjust