fft.soliton

CHP 2 - Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954(CHP 2- Real-Time Digital Signal Processing: Implementations and Applications, Second Edition by Sen M. Kuo, Bob H. Lee & Wenshun Tian, ISBN 0470014954)

MATLAB编写的汉字繁体简体转换程序，使用GUI(MATLAB Traditional Chinese Simplified preparation of the conversion process, the use of GUI)

这是用Matlab编写的贪食蛇游戏，非常好玩，大家可以由此体验Matlab编程的乐趣。(This is prepared in Matlab with snake games, very fun, one can all experience the fun of Matlab programming.)

说明：  采用白噪声作为输入信号，用递推最小二乘法来进行系统辨识(Using white noise as input signal, using recursive least squares method for system identification)

EMD 分解的MATLAB程序 是对时间信号分解的一种办法(EMD decomposition of time MATLAB program is a way of signal decomposition)

深度图像遮挡边缘检测，阈值法，MATLAB源码(Depth of the image edge detection block, threshold method, MATLAB source)

用MATLAB实现快速傅里叶变换。方程有需要的话，可以自己设定(Using MATLAB to achieve fast Fourier transform. Equation there is a need, they can set their own)

本程序针对一类不确定性非线性系统，利用输出反馈实现系统镇定，我用simulink做的一个仿真例子。(This procedure for a class of uncertain nonlinear systems using output feedback stabilization realize system, I used to do a simulink simulation example.)

implementation of sliding mode control

说明：  交通视频采集后的图像预处理。由于硬件及环境等因素的影响，摄像头提取的图像不可避免地包含噪声，图像的质量会受到不同程度的失真。因此，我们要对采集到的视频序列进行图像的预处理。 车辆检测算法。概括性的分析了基于图像处理的几种常用的车辆检测算法：帧差法、光流法，总结了各种方法的优缺点，并采用背景差法对车流量进行检测。该算法自适应能力强，计算量小，可正确判断有无车辆、完成车辆计数，实现车流量计算，为交通监管系统提供实时有效的交通参数。 车辆计数。分析常用的车辆计数方法：虚拟线圈法和目标跟踪法。并结合具体的实际应用采用基于检测带的车辆计数方式。结果表明，该方法能很好的进行车流量统计。 (Image pre-processing traffic after video capture. Due to hardware and environmental factors, the camera inevitably contain the extracted image noise, image quality will be subject to different degrees of distortion. Therefore, we want to capture the video sequence image preprocessing. Vehicle detection algorithm. General analysis of several common vehicle detection algorithm based on image processing: frame difference, optical flow, summed up the advantages and disadvantages of each method, and using background subtraction to detect traffic flow. The algorithm is adaptive ability, a small amount of calculation can correctly determine whether the vehicle, the vehicle should count to achieve traffic flow calculation provides effective real-time traffic parameters for a traffic monitoring system. Vehicle counting. Analysis of common vehicle counting methods: virtual coil method and target tracking method. Combined with concrete and practical applications based on vehicle detection with )