Relative-Forwarding-Decision-Steps-Comparison

1 瑞利分布实现程序 2 瑞利分布＋杂波 3 相关对数正态分布杂波 4 相关weibull分布杂波 5 相干相关K分布杂波 (1 Rayleigh distribution to achieve program 2 Rayleigh distribution+ Clutter 3 Related lognormal clutter 4 related weibull distribution clutter 5 coherent K distributed clutter)

说明：  gaussian输入文件 密排六方输入文件(gaussian input file input file HCP)

说明：  MATLAB的瑞利衰落信道仿真，针对服从瑞利分布的多径信道进行模拟仿真，加深对多径信道特性了解。(Channel Emulation of Rayleigh fading by using MatLab,which is aimed at the Multipath Propagation channel that obey Rayleigh distribution, so it could be furthered comprehension of characteristic on the Multipath Propagation channel.)

Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.Model of SSSC which is used to compensate for the reactive power in transmission line.

steepest decent and LMS algorithm in adaptive filters

雷达采用匹配滤波完成脉冲压缩，采集频率fs=420MHz,仿真雷达回波，并绘出加Hamming窗前后的脉压波形。目标如图所示由(-5，-2)，(0，5)和(6,-7)三个散射点组成,散射强度分别为（1，2，5）,雷达位于（-5000,0）处(The completion of the radar pulse compression using matched filtering, collecting the frequency fs = 420MHz, simulation of the radar echo, and draw the Hamming window plus post-pulse pressure waveform. Targets as shown by (-5,-2), (0,5) and (6,-7) three scattering dots, scattering intensity, respectively (1,2,5), radar at (-5,000, 0), Office of)

Either a string naming a function that calculates the gradient, or the null matrix

一款比较新的绘图软件的电脑书籍，比MATLAB更容易实现(A relatively new mapping software to computer books, is more easily achieved than in MATLAB)

基于Kaimal谱与线性自回归(AR)法，生成脉动风速。(Based on Kaimal spectrum and linear autoregressive (AR) method, the pulsating wind speed is generated.)

说明：  //实现K-means聚类算法 //包括main.m、distance.m、randCent.m、kMeans.m等四个matlab文件 //以及测试数据集(//Implementation of K-means clustering algorithm // including four matlab files: main.m, distance.m, randCent.m, kMeans.m, etc. //And test data sets)