railway

matlab/simulink 三种方法的弹道仿真（追踪法、比例导引法、平行接近法） (matlab/simulink Trajectory Simulation of three methods (tracing method, proportional navigation law, parallel close to the law))

一个Matlab实例，内有例题描述已经m文件(A Matlab example, there has been described m Example document)

这是关于Matlab语言的讲义，主要是将simulink工具箱(matlab programming with simulink toolkit)

本文档是MATLAB详细的教程课件，对MATLAB初学者来说是很好的一部教材。对大家肯定会有很大的帮助的。(This document is a detailed tutorial MATLAB software for beginners MATLAB is a very good teaching. I am sure you will be on a lot of help.)

说明：  UWB中使用的参考信道模型，使用的是PAM 调制方法(UWB use of the reference channel model, using the PAM modulation method)

MATLAB Mattrix LABoratory is an application that con et e ¸ cue to provide a simple matrix computing environment, efficient, interactive and mobile, allowing the implementation of algorithms in evelopp es projects Linpack and eispack.

一种改进的分水岭分割算法 ，效果很不错的哦(Improved watershed segmentation results are good)

说明：  matlab编写，贝叶斯估计程序，简单易懂。(Matlab prepared, Bayesian estimation procedures, simple and understandable.)

对于matlab plot 画图时出现图像纵坐标比较接近时颜色分辨不出来，使图像颜色更丰富。(For matlab plot occurs when the image drawing closer to the vertical axis can not be seen when the color to make the image more colorful.)

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.)