prony1

采用matlab实现的wsn节点算法，对于研究wsn非常有好处。虽然有很多人有类似的代码，但是这个代码比较相信。(Using matlab to achieve wsn node algorithm for the study of wsn very good. Although many people have similar code, but this code is to believe.)

本程序为m源文件，应用于无线回传的拓扑优化问题，采用的是贪婪算法。(This program is m source file, which is applied to topology optimization of wireless backhaul, and greedy algorithm is adopted.)

基于matlab的火焰高度求解，主要使用的是分布概率法，实验将视频中的火焰按帧取出1512张火焰图进行火焰分析，涉及到灰度图、二值化以及其他MATLAB函数应用。简洁明了，适合学习，且具有一定的工程意义。(This is a program solving the height of falme which based on matlab,mainly used the distributing probabilty.The experiment is analysed by 1512 flame picture which producded by a 3 minute video.The analysis is concerned with Gray,THresholding and other matlab function.The program is simple but important to engineering!)

说明：  正交匹配追踪(OMP)算法的MATLAB函数代码(Matlab function code of OMP algorithm)

提出了一种改进的基于垂直投影特征值的 分割算法(An improved vertical projection based segmentation algorithm for eigenvalue)

速度数据文件，用于Matlab对于简单数据表格的测试和练习(Speed Description to exam and exercise)

一个学习Naive Bayes的matlab代码，学习到的参数只与样本的个数有关，与实际的样本值没有直接关系。 为了代码的可读性、容易学些，算法的实现没有采用MATLAB向量化 操作。(A Naive Bayes learning matlab code, only to learn the parameters related to the number of samples, and the actual sample values ​ ​ are not directly related. For code readability, easy to learn something, no algorithm using MATLAB vectorized operations.)

在单频激光干涉仪的非线性误差中，运用细分计数方法对其进行修正，在存在高斯白噪声的情况下，采用传统的正切细分法和可修正误差的细分法来仿真比较。(In the nonlinear error of single frequency laser interferometer, the use of segmentation counting method, amending them, in the presence of Gaussian white noise, using the traditional method and the tangent subdivision subdivision errors can be corrected to simulate compare.)

说明：  有关随机有限集一阶矩PHD和粒子滤波相结合的matlab实现的程序，对于学习PHD和粒子滤波有一定的帮助！(First moment PHD filter matlab implementation procedures for random finite set.)

Matlab设计实例30例精解，里面有详细的讲解过程和源代码以编程用到的数据(Matlab examples of refined solution design 30 cases, there are detailed to explain the process and source code used to program data)