PID_Anti_Windup

this is nicer project idea u can use it for futuer prospect

这是一个压缩奇异值分解算法。该算法将一个矩阵进行奇异值分解。CSVD Compact singular value decomposition(This is a compression algorithm for singular value decomposition. The algorithm is a matrix singular value decomposition. CSVD Compact singular value decomposition)

精通MATLAB6.5教程与实例（北京航空航天大学出版社，张志涌编）(Tutorials and examples of proficient MATLAB6.5 (Beijing Aerospace University Press, Zhang Yong ed.))

功能软件 多多使用，多多下载，大家学习学习。不知道可用不(Your use of the software functions, a lot of downloads, we learn from. Do not know can not)

说明：  仿真一个QPSK调制信号通过一个平坦瑞利衰落的AWGN信道的误码率(simulate the BER of a QPSK modulated siganal using an AWGN channel with flat rayleigh fading)

it a SCFDMA MATLAB source code

求不动点，是有关数值代数的问题，求出函数的不动点(Seeking fixed point，It is related to the numerical algebra problem, fixed point functions obtained)

this package can simulate a rayleigh multipath fading channel .by running the ,exam.m, the channel will be simulated.,siglfade can simulate a simple rayleigh channel . multipath.m use delay and siglefade to simulate a multiath fading channel.

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)

模式识别，源程序。Ada_Boost.m文件。希望能有用，经调试可用。(Pattern recognition, source. Ada_Boost.m file. Hoping to be useful, debugging is available.)