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solving ODEs with MATLAB..

此文件是麻省理工大学系统辨识课程，值得一看收藏(system identification courses in Massachusetts Institute of Technology , worth a visit)

说明：  evaluation of the binary grating

利用非数NaN对所选图像进行镂空、透视、剪切处理。(few NaN using non-selected images of Pierced, perspective, shear processing.)

本代码为基于模糊RBF辨识的自适应PID控制，比较常规PID具有很明显优势控制效果。(The code for identification based on fuzzy adaptive PID control of RBF, compared with the obvious advantage of conventional PID control performance.)

相关分析法辩识离散线性系统的脉冲响应特性，用编程实现M序列和使用批量算法和递推算法进行参数估计。(Identification correlation analysis impulse response characteristic of discrete linear systems, with programming and the use of the M-series batch algorithms and recursive algorithms for parameter estimation.)

Applying dilation to binary map

利用离散余弦变换DCT和小波变换DWT实现对图片的变化域压缩并进行仿真以及性能分析(Using the discrete cosine transform DCT and wavelet transform DWT realization of the picture changes and simulated field compression and performance analysis)

LMS、RLS、CMA自适应均衡算法matlab仿真，出图效果很好。( LMS, RLS, CMA adaptive equalization algorithm matlab simulation, showing good results. LMS, RLS, CMA adaptive equalization algorithm matlab simulation, showing good results.)

在基于前景检测的基于移动物体检测和车辆跟踪算法的实现中，针对广泛的应用来实现读取AVI文件，并将其分解为R，G和B组件。 执行各种操作并检测移动物体。 各个阶段的阈值决定了识别某些尺寸的移动物体的可能性。 移动物体也在其中跟踪。 MATLAB用于实现算法。 该算法用包含120帧的输入avi格式视频文件进行测试。 研究并实现了这些算法的各种应用。(In this foreground detection based moving object detection and vehicle tracking algorithm is implemented targeting a wide class of applications. An AVI file is read and it is decomposed into R, G and B components. Various operations are carried out and the moving objects are detected. Thresholds at various phases are decide the possibility of identifying the moving object of certain sizes. Moving objects also tracked in it. MATLAB is used for implementation of the algorithm. The algorithm is tested with input avi format video files consisting of 120 frames. Various applications of these algorithms are studied and implemented. Main focus is given on (unmanned aerial vehicle) UAV based and automatic traffic estimation applications)