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在MATLAB系统下的BP程序预测GDP(MATLAB system in BP procedures under the GDP forecast)

Kalman filter examples

OFDM信道估计程序 是基于导频的OFDM信号信道估计的matlab程序(OFDM channel estimation procedures is estimated based pilot OFDM signal channel matlab program)

Single phase converter control

无线传感定位的一个入门算法，介绍了信标节点密度与定位精度的关系(Wireless sensor positioning as an entry algorithm introduced beacon node density and the relationship between positioning accuracy)

一个除法计算器和字母统计器，作为例程，希望可以让初学者快乐学习matlab，体验其中的快乐，毕竟兴趣才是最好的老师；(A calculator and letters and Statistics division, and as a routine, I hope will allow beginners to learn Happiness matlab, experience one of the happy, interested, after all, is the best teacher )

用于对非线性方程的参数估计和最优估计的粒子滤波算法，保管一看就会，步骤很清晰的。(the solution of non-line function by pf filter)

使用MATLAB来编写fft快速算法的具体实现方法的源码。(Use MATLAB to write fft Fast Algorithm for the concrete implementation method of the source code.)

不可多得的安卓入门图书！由Mark Murphy编著，手把手教你实现你的第一个安卓应用程序(Getting Andrews rare books! Edited by Mark Murphy, taught you how to achieve your first Android application)

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)