lm3s9b90

这是在ＭＡＴＬＡＢ环境下常用的绘图命令的源代码。(This is in common use in the MATLAB source code for the drawing commands.)

SPIHT编码的MATLAB程序SPIHT编码的MATLAB程序(SPIHT coding of the MATLAB program)

能读取.SLP文件 来提取按照xyz轴旋转的图像(Can read. SLP is the file to extract images in accordance with xyz-axis rotation)

simulation file in matlab simulink

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)

精通MATLAB6.5（张志涌，精简版）一书作为刚接触matlab的实用书籍。(the e-book ,master MATLAB 6.5 author zhangzhiyong,is a useful helper for those who just start to learn MATLAB.)

MATLAB program of v/f control of ac machine

实现脉冲消隐以在通信系统去除较大干扰,保证误码率性能(Realization of pulse blanking to remove larger interference in communication system, guaranting the bit error rate performance)

说明：  自己在编matlab C语言模块时的一些总结(Some of my experiences about matlab s C SFunction)

求最小PID可达方差,用于评价PID控制系统的控制系能，比最小方差控制最为评价基准更可靠(PID up to find the minimum variance control system for evaluation of PID control system can be more than the minimum variance control most reliable evaluation criteria)