FIR

说明：  ARAIM算法的描述和实现，介绍ARAIM算法还有其他算法。(Description and implementation of ARAIM algorithm. Introduce ARAIM algorithm and other algorithms.)

K-means算法是基于划分的思想，因此算法易于理解且实现方法简单易行，但需要人工选择初始的聚类数目即算法是带参数的。类的数目确定往往非常复杂和具有不确定性，因此需要专业的知识和行业经验才能较好的确定。而且因为初始聚类中心的选择是随机的，因此会造成部分初始聚类中心相似或者处于数据边缘，造成算法的迭代次数明显增加，甚至会因为个别数据而造成聚类失败的现象。(K-means algorithm is based on the idea of partitioning, so the algorithm is easy to understand and the implementation method is simple and feasible, but it requires manual selection of the initial number of clusters, that is, the algorithm is with parameters. The number of classes is often very complex and uncertain, so professional knowledge and industry experience are needed to better determine. Moreover, because the selection of initial clustering centers is random, some initial clustering centers will be similar or at the edge of data, resulting in a significant increase in the number of iterations of the algorithm, and even the phenomenon of clustering failure due to individual data.)

找出结构体中最大数初次用C作的小程序-identify the structure of the largest number of initial C for the small program

基于matlab程序实现交通标识的识别，的源代码(traffic sign recognition based on matlab)

利用EKF扩展卡尔曼滤波估计算法估计SOC(Estimation of SOC by EKF Extended Kalman Filter Estimation)

给定小波母函数,要求做连续小波变换，变换结果以图像形式给出（尺度－位移），说明并在图像上标出信号有哪几个成分。(For a given mother wavelet function, required to do continuous wavelet transform, transform results are given in the form of images (scale- displacement), indicating that the signal in the image on the marked which of several components.)

说明：  自己编写代码实现图像的均匀量化，SNR曲线为线性直线，符合理论(using matlab to step the picture)

使用SG90转动，MPU6050显示角度，OLED显示，STM32F103C8，PWM控制。(Using SG90 rotation, MPU6050 display angle, OLED display, STM32F103C8, PWM control.)

套打程序，定位、画线、插图-chromatography printing procedures, positioning, line drawing, illustration

差分盒子维法(DBC) 计算图像的分形维数，适用范围广。(An efficient differential box-counting approach to compute fractal dimension of image)