IMM-kalman-filter

宽带无线信号的多径效应仿真，外文教材的代码(Broadband wireless signals in multi-path effects simulation, foreign language teaching materials code)

说明：  画出股票的MA平均线,含具体的步骤说明，包括导入数据、算法构造和做出图形(draw the ave line (MA) in stock market)

RTL8201 circuit application

Source code to generate Nakagami distributed numbers, Nakagami PDF. Useful in wireless communications.

再区域内，随机画圆，并保证各个圆相切。 (draw circles in the area and all the circles are tangent)

电磁计算中的矩量法，用以计算偶极子和方环天线的输入阻抗等天线参数(Electromagnetic calculation method of moments to calculate dipole and square loop antenna input impedance antenna parameters)

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)

lab simulinl, it s my lad in shool

说明：  改进防碰撞纯ALOHA的matlab仿真算法(Improved anti-collision algorithm for pure ALOHA the matlab simulation)

Factorial hidden markov model and compute likelihood per each cycle with train test and validation set. train HMM used Backward-Forward Algorithm.