交互式多模型目标跟踪IMM

matlab的pid控制程序，单神经元自适应PID控制(matlab of pid control procedures, single neuron adaptive PID control)

三分matlab基础文档，三本比较经典的书籍。中文。侧重点不同。(Matlab third base document, three more classic books. Chinese. Different focus.)

高频地波雷达完整仿真程序-MATLAB 源代码(Complete high-frequency surface wave radar simulation program-MATLAB source code)

二维时域有限差分法：TE波仿真程序，下载即可运行(FDTD—TE wave)

Arduino-PID-Library-master库函数，可以轻松实现PID控制，是Arduino的函数库。(Arduino-PID-Library-master library function, you can easily realize the PID control is the Arduino library.)

说明：  分数阶fotf/foss等工具箱，用于分数阶建模、控制仿真。(The toolbox of fractional order FOTF / FOSS is used for fractional order modeling and control simulation.)

这段代码中，您可以使用 Dikjstra 算法。将两点连接起来，在图像或图形。一种改性的火线算法。

calculate of zernike momemt of figure. calculate of complex moment it use for extraction feature. edge detection find treshold

说明：  使用matlab编写的源程序 高斯噪声产生的源代码(prepared by the use of Matlab source Gaussian noise source)

这是TD算法的逆过程，首先将时间序列，划分为相邻点的短序列，当然此时的拟合误差为0，因为第一点和第二点的连线，原始点都落在线段上。将相邻两个线段连接起来，此时每条线段包含三个原始点，计算中间那个点的拟合误差。这样，所有这些三个点的线段中的中间点的拟合误差计算出来后，找出误差最小且误差小于阀值R的分段，作为第一条包含三个点的线段。 在上面的基础上，第一条分段同样的和相邻线段连接，然后计算每一条分段的拟合误差，再找出误差最小且小于阀值R的分段，作为第二个分段。依次方式循环，直到所有分段的拟合误差都小于阀值R，分段结束。 (This is the reverse process of TD algorithm, the first time series is divided into short sequences adjacent dots, of course fitting error is zero at this time, because the first and second points of connection, the original point fall line on. The two adjacent segments are connected, then each segment contains three original point, the intermediate fitting error calculated that point. Thus, after all these segments fitting error of three points in the intermediate point calculated to find the minimum error and the error is less than the threshold R segment, as the first line contains three points. Based on the above, the first segment and the adjacent line segment connecting the same, and then calculate a fitting error for each segment, and then find the smallest error and less than the threshold R segment, as the second segment . Followed by a cyclic manner until all segments fitting error is less than the threshold R, segment ends.)