matlab_example

席位分配 可以在准备数学建模的时候作为练习资料(mathmodeling)

代码，关于梯度的HOG特征，挺全的，可以使用(a code about the gradient of the picture)

稀疏分解图像重建程序，把图像分解成多个小块图像，然后再各个子块重建后边缘处理后合并成整个图像。(sparse decomposition image reconstruction process, the image is divided into a number of small images, then each sub-block redevelopment edge after the merger into the whole image.)

该特征提取算法是从超声图像感兴趣区域提取的纹理特征，基于小波变换的。(this features was abstacted from the ultrsound images which is based on the DWT.)

针对三相桥式整流电路的谐波和无功功率的特点，提出几种滤波方案，并进行比较，最终确定了用有源滤波方案。对于有源滤波器，本论文从结构上比较后选用并联电压型有源滤波器。(The thesis introduces several kind of filter schemes, which is aimed at the harmonic characteristic of three-phase bridge rectifier circuit .After comparison,the thesis chooses the active filter scheme,in view of the active filter, after the comparesion of structure,finally, the thesis chooses the parallel-voltage active filter.)

层次分析法matlab源程序，用于判断矩阵等(AHP matlab source for judging matrix)

此函数介绍了非线性函数在MATLAB理是通过什么函数进行拟合的(This function describes the nonlinear function in the MATLAB function through what management is fitting)

kmeans算法matlab 实现，可以处理2维数据集(kmeans algorithm matlab implementation, can handle 2-D data set)

通过 matlab 编程实现捷联惯导系统初始对准、惯导解算的全过程。 1）初始自对准：利用前10分钟实验车静止的数据进行惯导系统的自对准。采用前2分钟数据进行解析粗对准，后8分钟数据用五状态Kalman滤波器实现精对准；为了验证精对准性能，可在粗对准结果上把航向角人为加一定幅度（如10度）的误差，观察精对准的收敛性能。 2）纯惯导解算：对准结束后转入纯惯性导航解算，要求进行双子样的圆锥和划摇补偿，即每20ms完成一次导航解算，输出完整的导航结果包括三个姿态、两个水平速度和两个水平位置（天向通道发散不必输出），并给出姿态、速度、位置随时间的变化曲线以及位置误差曲线。(The whole process of initial alignment and inertial navigation solution of strapdown inertial navigation system is realized by matlab programming.)

时频分析工具包，可用于非平稳信号处理，for matlab(This is the Time-Frequency Toolbox, a collection of about 100 M-files , developed for the analysis of non-stationary signals using time-frequency distributions. It consists in groups of signal generation files, processing files and post-processing files (including visualization tools). The toolbox contains numerous algorithms for time-frequency signal analysis, with special emphasis on quadratic energy distributions within Cohen s class and the affine class, including most recent developments based on reassignment. The Time-Frequency Toolbox has been developed by Francois Auger, Olivier Lemoine, Paulo Gonlv and Patrick Flandrin during the years 1995-1996. Later, modifications for Matlab 5 were made available.)