Underwater--channel-simulation-

通信信号处理DOA估计中music算法的研究与实现(failed to translate)

样本熵是时间序列复杂度的一种度量, 在上个世纪末期由几位非线 性动力学研究者提出。样本熵比近似熵更具有相对一致性(Sample entropy is a measure of the complexity of the time series, at the end of the last century by several non-linear dynamics researchers. Sample entropy more than approximate entropy relative consistency)

Range Kutta 2 method used for solving ordinary differential equation.

泰勒级数展开算法是需要初始估计位置的递归算法，在每一次的递归中通过求解TDOA测量误差的局部最小二乘来改进估计的位置。 本程序基于MATLAB，对泰勒级数展开算法进行了仿真。初始位置的选取很重要，建议和其他简单的算法进行协同，对信号源位置进行定位。 希望对研究信号源定位的同志有所帮助。(Taylor series expansion algorithm is the need to estimate the location of the initial recursive algorithm, in every recursive TDOA measurement error by solving the partial least squares to improve the position estimate. The program is based on MATLAB, the Taylor series expansion algorithm for the simulation. The selection of the initial position is very important, the proposed algorithm and other simple coordination, to locate the signal source location. Want to locate the source of research help comrades.)

利用三次样条多项式插值法观察多项式的龙格现象。(Runge phenomenon observed polynomial cubic spline interpolation polynomial.)

首先总结FDTD算法中的两种典型边界条件的算法特点，然后提出用Matlab语言编程的步骤和应注意的问题，并结合具体例子讲解编程的方法，最后得出用Matlab语言对FDTD算法编程的几点结论(FDTD algorithm is summarized in the first two typical boundary conditions of the algorithm characteristics, and proposed using Matlab programming steps and should pay attention to the problem, and explain with concrete examples of programming method, the conclusion that the language of the FDTD algorithm using Matlab programming several the conclusions)

K-MEANS算法程序(MATLAB环境)(K-MEANS algorithm procedure (MATLAB environment))

一个自己用的谱聚类算法函数，输入距离矩阵和聚类数，输出类别(Spectral Clustering Method)

说明：  二阶一领导者多智能体一致性。可用来入门学习一致性(Second order one leader multi-agent consistency. It can be used to learn consistency)

使用matlab撰写的GM(1,1)灰度预测算法，能够实现数学模型的趋势预测。它可以实现数据平移（需要的话）、检验，并最后预测。(Use matlab to write GM (1,1) gray prediction algorithm, can realize the mathematical model of the trend prediction. It can realize the data translation (if needed), test, and finally prediction.)