SOM_Toolbox

本文基于马赫-泽德干涉结构的分布式光纤传感系统，采用模式识别的思想，详细论述了信号特征辨识和提取方法，提高了定位准确度，减少了误报！(Based on Mach- Zehnder interferometer structure of the distributed optical fiber sensing system, using pattern recognition idea, discussed in detail the signal feature recognition and extraction methods to improve the positioning accuracy and reduce the false alarm!)

实现彩色图像增强，效果不错，是使用matlab编程的(Color image enhancement, the effect is to use the matlab programming)

说明：  本程序仿真2个AUV在航行过程中以一定的编队航行，一前一后，协同完成任务(This procedure simulated two AUV during the voyage, sailing in certain formations, one after the other, collaborative tasks)

利用实例教会初学者MATLAB的GUI的设计过程，非常实用(Examples of the use of the church beginners MATLAB GUI design process, very practical)

Exercise on Kalman Filter

Kalman Tracker matlab

初学matlab的教程，比较全面，比较实用，此部分为第一部分。(Matlab beginner tutorial, more comprehensive, more practical, this section is the first part.)

灰色系统与模糊数学、黑箱方法的区别，灰色系统预测GM（1，1）模型，GM（1，N）模型，灰色系统模型的检验，应用举例。(Grey and fuzzy math, the difference between black-box approach, Grey forecasting GM (1,1) model, GM (1, N) model, gray system model testing, application examples.)

Denoising the Signals using Kalman Filter for Target Tracking in Wireless Sensor networks

最短路径dijkstra算法的MATLAB实现(MATLAB implementation of the shortest path Dijkstra algorithm)