extrema

拉格朗日插值，利用拉格朗日法进行插值计算，欢迎下载，谢谢(lagrange interp)

maze solution. it is a solution for maze problem with matlab code. in this solution I used very simple functions and it is easy for everyone.

电磁波电场强度的取向和幅值随时间而变化的性质，在光学中称为偏振。如果这种变化具有确定的规律，就称电磁波为极化电磁波（简称极化波）。如果极化电磁波的电场强度始终在垂直于传播方向的（横）平面内取向，其电场矢量的端点沿一闭合轨迹移动，则这一极化电磁波称为平面极化波。电场的矢端轨迹称为极化曲线，并按极化曲线的形状对极化波命名。因此如果E的失端轨迹是圆，则此电磁波称为圆极化波。(The properties of the orientation and amplitude of the electric field intensity of electromagnetic waves vary with time, which are called polarization in optics. If this change has a definite law, the electromagnetic wave is called polarization electromagnetic wave (called polarization wave). If the electric field intensity of the polarized electromagnetic wave always orientations in the plane perpendicular to the propagation direction, the terminal point of its electric field moves along a closed path. Then the polarized electromagnetic wave is called the plane polarized wave. The vector end track of the electric field is called the polarization curve and is named for the polarized wave according to the shape of the polarization curve. Therefore, if the lost track of E is a circle, the electromagnetic wave is called a circular polarization wave.)

仿真FFT参数对采用FFT算法分析信号频谱的影响。产生频率分别为2Hz，2.05Hz的正弦波合成信号，采样频率＝10Hz。(Simulation of the influence of FFT parameters on the frequency spectrum of the signal using FFT algorithm analysis. The frequency of sine wave synthesis are respectively 2Hz, 2.05Hz signal, the sampling frequency is 10Hz.)

matlab最佳均方逼近算法及matlab实现代码(The best square approximation matlab)

comparison between uncoded and LDPCencode BPSK signal transmitted in AWGN channel

antenna empedans in matlab

元胞自动机为使人员疏散离散模型更好描述行人微观特性，提出一种改进元胞自动机的人员疏散模型。(In order to make the discrete model of evacuation better describe the micro-characteristics of pedestrians, a new evacuation model based on improved cellular automata is proposed.)

针对基本无线传感器网络DV-Hop定位算法中，计算平均跳距时产生偏小误差的原因，提出了基于平均跳距修正的DV-Hop算法。改进算法中，引入信标节点个数比例、所有信标节点平均跳距的最大值以及所有信标节点平均跳距的平均值三个因子，并采用它们对平均跳距进行修正。通过Matlab软件对算法进行仿真验证，结果表明，改进后的 DV-Hop 算法有效降低了未知节点的定位误差，是一种可行的无线传感器网络节点定位解决方案。(DV-Hop localization algorithm for wireless sensor networks, we calculate the average hop distance small error of reasons, raised the DV-Hop algorithm based on the average hop distance correction. Improved algorithm, the proportion of the number of nodes, the introduction of beacons, the beacon node average maximum jump distance as well as all the beacon nodes average jump from the average of three factors, and their average hop distance correction. Matlab software simulation results show that the improved DV-Hop algorithm effectively reduce the unknown node positioning error, the solution is a viable wireless sensor network node positioning algorithm.)

it deals with test attractor, which is related to fractal.