fuzzy-bang-bang-control

simulik 仿真基础，讲解matlab/simulink中各种模块的应用(the basis of the simulink simulation)

数字语音信号处理端点检测MATLAB仿真(Endpoint detection digital signal processing MATLAB simulation )

简单易用的基于MATLAB的粒子图像测速（PIV）工具箱(A PIV toolbox based on MATLAB)

说明：  直接序列扩频代码，完成直接序列扩频的扩展功能(Direct sequence spread spectrum code to complete the extended functionality of direct sequence spread spectrum)

matlab短时傅利叶变换的程序！ 自己改编的，要是有错误请大家指正 (Short-time Fourier transform matlab procedure! Their own adaptation of it, and if there are mistakes please correct me)

DS扩频通信DS spread spectrum communicationDS spread spectrum communication(DS spread spectrum communicationDS spread spectrum communicationDS spread spectrum communicationDS spread spectrum communicationDS spread spectrum communicationDS spread spectrum communicationDS spread spectrum communicationDS spread spectrum communication)

这里上传的是：matlab语音信号分析与合成（第2版）程序，希望对大家有用。(Here is uploaded: Matlab voice signal analysis and synthesis (Second Edition) program, I hope to be useful to all of you.)

说明：  matlab下实现对高斯噪声下的小目标的滑窗检测。数据为1000个点，滑窗窗口大小为30，每次滑动一个点的数据。采用的是窗内30个数据先各自平方，然后求和，再除以窗口大小。实验表明能有效检测雷达目标信号。(matlab under Gaussian noise to achieve a small target detection sliding window. Data for 1000 point sliding window window size is 30, each time moving a point of data. Using the data before the window each 30 square feet, and then summed, divided by the window size. Experiments show that the radar target signal can be detected.)

梯度下降法的matlab程序，已检查过，没有错误，参考数值分析一书。(ti du xia jiang fa )

Among the high-complexity methods, two methods dominate the literature Kalman filtering and Mixture of Gaussians (MoG). Both have their advantages, but Kalman filtering gets slammed in every paper for leaving object trails that can t be eliminated. As this seems like a possible deal breaker for many applications, I went with MoG. Also, MoG is more robust, as it can handle multi-modal distributions. For instance, a leaf waving against a blue sky has two modes—leaf and sky. MoG can filter out both. Kalman filters effectively track a single Gaussian, and are therefore unimodal: they can filter out only leaf or sky, but usually not both.