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本文的处理手段是对输入的汽车图像进行预处理,运用车牌定位,字符分割，字符识别的方法提取车牌上的数字字符串,并以文本的形式输出。(This treatment method is to enter the vehicle image preprocessing, the use of license plate location, character segmentation, character recognition to extract license plate numbers on the string and output in the form of text.)

二次采样以确定像素间的相关性，然后对两个采样结果同时嵌入水印，利用的是倒谱变换(second sampling to determine the correlation between pixels, then the two sampling results also embedded watermark, make use of Cepstrum)

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压缩感知恢复算法，加速算法的一种，近似算法(Recovery algorithm)

说明：  使用matlab软件写的一个实现rs译码的小程序，适合初学看看(rs decode and encode)

捷联惯导系统仿真算法的研究及其实现.nh.大连理工大学硕士论文，详细阐述了如何用matlab-simulink进行惯导仿真(Strapdown inertial navigation system simulation algorithm and its realization. Nh. Dalian University of Technology master s thesis in detail how to use matlab-simulink simulation for INS)

LU分解，基于MATLAB开发，求上三角函数和下三角函数(LU decomposition, based on the MATLAB development, and lower demand on the trigonometric functions trigonometric functions)

利用偏直接一致（PDC）指数分析同步采集的脑电信号和肌电信号之间的信息传递方向 (Analysis the information transfer direction btween synchronous EEG and EMG )

使用遗传算法解决TSP问题的完整代码，含动态路径变化图(The complete code using genetic algorithms to solve TSP problems, including changes in the dynamic route map)

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)