dl_sch

冈萨雷斯的经典教材数字图像处理的matlab版源代码，非常适合配套学习。(Gonzalez classic teaching digital image processing matlab version of the source code, very suitable ancillary study.)

钟型隶属函数-b参数变化钟型隶属函数-b参数变化(Bell-shaped membership function-b parameter bell-shaped membership function-b parameters)

利用相关分析法对系统进行辨识，使用matlab,能够成功辨识出系统传递函数(Correlation analysis method using the system identification, the use of matlab, can successfully identify the system transfer function)

关于凸优化很好的一本书，是斯坦福大学的，学习凸优化必看的书，就是内容有点多(convex optimization)

实现了最速下降法的算法，具体实例操作，可运行出结果，分子程序书写，简便易懂。(The algorithm of the steepest descent method, and specific examples, you can run the results, the molecular program written in easy to understand.)

从txt文件中获取数据，然后用四边算法处理，其中涉及matlab文件和mathematica文件(Txt file to get the data, and then use the four sides of the algorithm processing, which involves matlab file and mathematica file)

能够很准确的计算单输入单输出系统的信噪比。(Very accurate calculation of the SNR of the single-input single-output system.)

船舶AIS轨迹提取，作出船舶AIS轨迹图。在此基础上，实现基于空间相似距离的K均值轨迹聚类。算法可以自定义轨迹聚类初始轨迹或者由程序随机生成初始轨迹，采用迭代的方法直到确定最终的聚类中心。(The extraction of ship AIS trajectory, make ship AIS trajectories. On this basis, to achieve similar K mean trajectory clustering based on distance space. You can customize the initial trajectory trajectory clustering algorithm or randomly generated by the program initial trajectory, iterative method was used to determine the cluster center until the end. )

说明：  灰色预测方法的特点表现在：首先是它把离散数据视为连续变量在其变化过程中所取的离散值，从而可利用微分方程式处理数据；而不直接使用原始数据而是由它产生累加生成数，对生成数列使用微分方程模型。这样，可以抵消大部分随机误差，显示出规律性。(The characteristics of the grey prediction method are as follows: First, it regards the discrete data as the discrete value of the continuous variable in its change process, so that the differential equation can be used to process the data; instead of using the original data directly, it generates the cumulative generation. Number, using a differential equation model for generating a series. In this way, most of the random errors can be offset, showing regularity.)

Function uses Standard Hough Transform to detect circles in a binary image. According to the Hough Transform for circles, each pixel in image space corresponds to a circle in Hough space and vise versa. upper left corner of image is the origin of coordinate system.