bat

GPS 软件接收机，非常适合GNSS接收机开发的初学者(GNSS SDR , very useful for beginner)

haar小波分析的类，只有头文件，输入为一个序列的信号，输出为haar小波分解后的各级参数(haar wavelet class)

ecg signal analysis using matlab

有关匹配滤波器以及存在多普勒频移失配情况下的仿真，另外还有高频情况下的匹配程序(The matched filter and the presence of Doppler frequency shift under the mismatch simulation, in addition to high-frequency in case of matching program)

dipole 天线仿真dipole 天线周围场的分布(dipole antenna simulation)

说明：  粒子群算法求解TSP问题Matlab源代码(Particle swarm optimization algorithm for TSP problem Matlab source code)

说明：  it s a numerical solution for QW

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：  信号处理,进行信号检测与处理，通过设定threshold来进行信号检测的可信度调整(Credibility adjustment signal processing, signal detection and processing, by setting threshold for signal detection)

Bi-directional sigmoid, one-way sigmoid, linear function, sign function implementation on Matlab