信道均衡

量子微粒群算法工具箱Quantum particle swarm optimization toolbox(Quantum particle swarm optimization toolbox)

hdf5 is a very important Lib for unix ......

public class SmilRegionMediaElementImpl extends SmilMediaElementImpl implements.

说明：  小波神经网络实例，用一周的数据来预测未来一天的情况，使用MATLAB软件实现人工智能的方法。(A wavelet neural network example is used to predict the situation of the next day with one week's data. MATLAB software is used)

本文介绍了在matlab中设计实例：电压和无功功率模糊逻辑控制器为110千伏的变电站。(A design example of voltage and reactive power fuzzy logic controller for 110kV substation based on MATLAB is done in this paper. )

一个描述左手材料的一维FDTD程序，适合初学者参考。(A description of the one-dimensional FDTD program of the left-handed materials and reference for beginners.)

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)

pca用于对TE的过程故障诊断中，很好用的一个程序(pca for process fault diagnosis of TE in a very good program with a)

DTFT plot the spectrum of a sinusoidal signal

Pisarenko谐波分解算法,有CDF三角函数曲线/三维曲线图，AHP层次分析法计算判断矩阵的最大特征值。( Pisarenko harmonic decomposition algorithm, There CDF trigonometric curve/3D graphs, Calculate the maximum eigenvalue judgment matrix of AHP.)