dalufa

此程序用来模拟仿真光学系统的传递函数（MTF），将MTF进行参数化处理。(This procedure is used to simulate the transfer function of the optical system simulation (MTF.)

机械工程设计分析和MATLAB应用(第3版）(Mechanical engineering design analysis and MATLAB (3rd edition))

说明：  智能天线设计，为经典教材，请下载使用，有问题及时联系。(Smart antenna design for the classic materials, please download ，there are problems, contact a timely manner.)

PID 的初学者模型，是关于专家型PID的，也可以用于系统PID的改进(PID beginner model is based on expert PID and PID can also be used for system improvement)

DTW算法的程序，申请两个n*m的矩阵D、d,分别为累积距离和帧匹配距离。这里n和m为测试模版与参考模版的帧数。然后通过一个循环计算两个模版的帧匹配距离d。接下来进行动态规划，为每个格点 （i，j）都计算其三个可能的前续格点的累积距离D1，D2，D3。考虑到边界问题，有些前续格点可能不存在，因此加入一些判断条件最后利用最小值函数min()，找到三个前续格点的累积 距离作为累积距离，与当前帧的匹配距离d（i，j）相加，作为当前格点的累积距离。该计算过程一直达到格点（n，m），并将D（n，m）输出，作为模版匹配的结果。(DTW algorithm procedures, apply two n* m matrix D, d, respectively, accumulated distance and frame matching distance. Where n and m is a reference test pattern and the template frames. Then through a loop to calculate two frames template matching distance d. Next, dynamic programming, for each grid point (i, j) are calculated from the cumulative D1 before the renewal of its three possible lattice point, D2, D3. Taking into account the boundary problem, some former continued grid point may not exist, so add some conditions to determine the final use of the minimum function min (), found three former continued accumulation of grid points cumulative distance as the distance from the current frame to match the d (i, j) added, and a current cumulative distance grid. This calculation has reached the grid (n, m), and D (n, m) output, as a result of template matching.)

hopfeild example code

说明：  是个关于matlab算法比的实验及其实验报告(About matlab algorithm is compared with experiment and lab report)

The M-file generates modulated signals using BPSK, QPSK, 16QAM and 64QAM modulation.

用贝塞尔画曲线的demo，能够控制参数，调节曲线的形式(a demo using bezier)

说明：  车牌识别技术422 10.1 系统简介422 10.1.1 车牌定位技术综述423 10.1.2 车牌字符 识别技术综述423 10.2 车牌图像定位与分割算法424 10.2.1 车牌图像的(Vehicle Identification Technology System 422 10.1 422 10.1.1 plates positioning technology on 423 10.1.2 License Plate Recognition Technology 423 10.2 plates positioning and image segmentation algorithm 424 10.2.1 license plate image)