matlabdatabase

主要通过Matlab实现遗传算法的操作，帮助那些对遗传算法感兴趣的人进行学习参考(Matlab genetic algorithm operation to help those people interested in the genetic algorithm to learn the reference)

回归分析(Regression analysis)

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)

说明：  线性卡尔曼滤波模型，利用simulink模型搭建(linear Kalman filter and Simulink are used to build the model in detail)

得到一些列的离散数据，用matlab，进行曲线拟合(Get some out of discrete data with matlab, for curve fitting)

mel spectral keofisien

Design A Root-Raised Cosine Filter

应用于系统辨识中，增广最小二乘法辨识程序的m文件。(System identification, augmented least squares identification procedure m files.)

调试通过可以使用，可以实现模式识别领域的数据的分类及回归，代码里有很完整的注释和解释，信号处理中的旋转不变子空间法，最大似然（ML）准则和最大后验概率（MAP）准则。( Debugging can be used, You can achieve data classification and regression pattern recognition, Code, there are very complete notes and explanations Signal Processing ESPRIT method, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.)

求解线性方程组的M步Gmres算法的Matlab算例(Solving linear equations M-step algorithm Matlab examples Gmres)