recgnition_toolbox

gmsk的matlab实现，可直接运行，自己编写的，请高手指点(GMSK matlab to achieve the direct running, I have written, please expert advice)

利用Lattice Boltzmann Method计算方腔流动的matlab程序(Calculated using Lattice Boltzmann Method cavity flow in matlab program)

说明：  本程序是基于方向优先权的机器人最优路径寻找算法，也可用于求解迷宫的最短路径,算法中是以100*100的格点为实例的，其中标0的位置为可行的点，标1的为障碍物，参考者可以根据自己的情况修改场地信息矩阵和起始点、目标点中间的算法不用修改 (This procedure is based on the priority direction of the robot to find the optimal path algorithm can also be used to solve the maze of the shortest path algorithm is 100* 100 grid points for the instance, which marked the location of 0 points as possible, standard 1 for the barrier, reference conditions can modify the site according to their own information matrix and the starting point, target points do not modify the middle of the algorithm)

基于最小二乘支持向量机的NARX模型辨识，用于设备故障诊断(program based on LS-SVM NARX for diagnosis)

实现floyd算法，这是一个使用的matlab小程序(Floyd algorithm, this is a matlab program)

capon波束成形代码，是对capon波束成形算法的matlab实现(capon beamforming code is capon beamforming algorithm matlab implementation)

We model the hunt as a game of three explicit stages: the stalk, the attack, and the subdual. We implemented this model in Matlab to simulate a velociraptor hunting a thescelosaurus and an African lion hunting a gazelle.

300HZ 采样率下，50、60HZ陷波器及8HZ高通多项式实现。画出原始数据及滤波后数据并画出相应频谱(50/60HZ notch filter of the matlab program.Plot raw data and filtered data and corresponding Spectrum)

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 )

harmonic filter for the RL load and non-linear load