Projectile-Code

MATLAB，紋理分析，利用GLCM來得到Entropy、homogenity、itensity、correletion、IDM、ENRGY...十多種紋理特性(MATLAB, texture analysis using GLCM to get Entropy, homogenity, itensity, correletion, IDM, ENRGY ... more than ten kinds of texture features)

this code for pr classroom code useful

Project Robot Matlab

new chnnel simulation

三维点云法向量估计综述由于获取方便、表示简单、灵活等优势，点云逐渐成为常用的三维模型表示方法之一。法向量作为点云必不可少的属性 之一，其估计方法在点云处理中具有重要的位置。另一方面，由于点云获取过程中不可避免的噪声、误差和遮挡，点云中通常含 有噪声、外点和空洞，并且部分采样模型如CAD模型，也会存在尖锐特征，这些都给法向量估计提出了挑战。对当前已有的点云 法向量估计算法进行综述，分析其原理及关键技术，着重分析它们在处理噪声、外点和尖锐特征等方面的能力并给出比较，最后 为未来研究提供了一些建议(The three-dimensional point cloud normal vector estimation summarized obtain convenient, represents a simple, flexible, and becoming one of the methods commonly used three-dimensional model represents the point cloud. Normal vector of one of the as point clouds essential attributes, its estimation method has important position in the point cloud processing. On the other hand, the noise is inevitable in the process to obtain because of the point cloud, error and occlusion, point cloud typically contains noise outside point and empty, and part of the sampling model such as CAD models, there will still be sharp features, which gave the normal vector estimated that presents a challenge. Overview of current existing point cloud normal vector estimation algorithm, analysis of the principle and key technologies, and analyzed their ability to deal with the noise, the outer points and sharp features and gives comparison, and finally provide some suggestions for future research)

直驱并网发电模型，适用于风力发电机组仿真控制模型并网部分(Direct drive power grid model, suitable for the simulation control model of grid connected wind turbine parts)

输出量通过回路使得占空比D增加或减少，以控制电压的输出或减少，从而达到最大功率点(Output circuit by which the duty ratio D is increased or decreased to reduce the output or control voltage to achieve maximum power point)

to sparsify an image

对于频率估计有效的研究方法 其中有matlab的原始的程序(Frequency estimation matlab)

地震数据时深转换，深度域的模型需要转换到时间域，方便与实际时间域的地震数据进行对比(When the depth conversion of seismic data, the model needs to be converted to the depth of field in time domain, convenience and seismic data to compare the actual time domain)