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产生均匀分布的随机白噪信号,并观察数据分布的直方图产生均匀分布的随机白噪信号,并观察数据分布的直方图(Generate uniformly distributed random white noise signal, and to observe the distribution of the histogram data generated uniformly distributed random white noise signal, and to observe the data distribution histogram)

本文件是用MATLAB编写的小型局域网模拟软件，在MATLAB环境下可实现局域网功能仿真。非常实用，适合初学者。(This document is written in a small LAN with MATLAB simulation software, in the MATLAB environment enables LAN functional simulation. Is very useful for beginners.)

Cursor Window extends SQLiteClosable implements Parcelable.

matlab 7.x程序设计一书的源程序。第一篇绘图与句柄式图形，第二篇 图形化使用者界面，第三篇 深入活用MATLAB Compiler(matlab 7.x programming book source. First drawing and handle graphics, graphical user interface, second, third depth utilize MATLAB Compiler)

说明：  单个矩形包络脉冲信号的模糊函数的matlab代码(Envelope of a single rectangular pulse signal ambiguity function of matlab code)

说明：  实现多尺度熵的算法 多尺度熵（Multiscale entropy, MSE）将样本熵扩展到多个时间尺度，以便在时间尺度不确定时提供额外的观察视角。样本熵的问题在于它没有很好地考虑到时间序列中可能存在的不同时间尺度。为了计算不同时间尺度下信号的复杂性，Costa等人（2002,2005）提出了多尺度熵。(MultiScale Entropy There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise.)

以Griewank函数为测试对象,应用PSO算法优化求解(Use Griewank function for test object, apply PSO algorithm as the optimal solution )

图像分割的方法有许多种，其中阈值分割的方法很常用，提供一种基于otsu算法的图像分割方法，很实用。(There are many kinds of method of image segmentation, threshold segmentation method is commonly used, provide a method of image segmentation based on otsu algorithm is very practical)

标准粒子群优化算法1,采用MATLAB编写,本算法简单,易于实现,可调参数少,是非线性连续优化问题、组合优化问题(The standard particle swarm optimization algorithm 1,)

运用shancen格子玻尔兹曼模型模拟两相分离，验证可行(Use shancen lattice Boltzmann model to simulate two-phase separation, verification feasible)