IsomapR1

DSP AD采样值存储后MATLAB分析其FFT频谱(DSP AD sampling save da1.dat file，then MATLAB FFT view frequency.)

用于1维曲线的分形维数计算，利用的是盒维数算法(one-dimensional curve for the fractal dimension is calculated using the box dimension algorithm)

说明：  constant false alarm rate(CFAR) detetion

自适应信号处理方面的LMS自适应线性预测算法(Adaptive signal processing for LMS adaptive linear prediction algorithm)

matlab求解TSP问题源代代码，程序可动态显示路径寻优过程 (matlab source code for solving the TSP problem, the prrogram can show the path of dynamic process optimization )

用二维热传导分数步长法求解二维热传导方程，其中解转化来的方程用的是追赶法,分别用了ADI,LOD,对称LOD方法进行求解(Solving the two-dimensional heat conduction equation with two-dimensional heat conduction fractional step method, Solving the two-dimensional heat conduction equation with two-dimensional heat conduction fractional step method, which transformed to the equation solution is to catch up with the law, respectively, with the ADI, LOD, LOD method for solving symmetric)

说明：  2008年全国数学建模竞赛用matlab程序(In 2008 by the National Mathematical Contest in Modeling matlab program)

关于MATLAB初学的文档，对初学MATLAB应该会有比较大的帮助！(Documentation on MATLAB beginner, for beginners should be larger MATLAB help!)

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)

This file contains ConfigFS logic for the Generic Target Engine project.