bp

利用matlab中自带的ＰＬＳ模块进行ＰＬＳ建模的程序代码，程序简单明了(Matlab comes PLS module PLS modeling program code, the program is simple)

说明：  为作业最终的仿真结果与分析 PL_free.m：free space path loss model PL_logdist.m: log-distance path loss model PL_lognorm.m: log-normal shadowing path loss model plot_PL_general.m: plot the figures itum.m: ITU M.1225 vehicular-B(120km/hr) channel model AWGN.m: create AWGN channel object(The final for the job simulation results and analysis PL_free.m: free space path loss model PL_logdist.m: log-distance path loss model PL_lognorm.m: log-normal shadowing path loss model plot_PL_general.m: plot the figures itum.m: ITU M.1225 vehicular-B (120km/hr) channel model AWGN.m: create AWGN channel object)

该软件包括自适应时频分析的计算内 核及Matlab 交互脚本.使用了 GUI 交互界面，可允许用户进行更多、更加直观的控制操作，可在Matlab 命令行直接敲入 tfagui 进入交互界面。(The software includes adaptive time-frequency analysis calculation Nuclear and Matlab interactive script. Using the GUI interface, allowing users more and more intuitive control operation, can be directly in the Matlab command line type tfagui into the interface. )

本程序是alamouti 两发一收程序，经过仿真后，可以运行(This program is alamouti two rounds of a settlement process, through simulation, you can run)

采用自相关函数法求基音周期，将采样得到的声音信号按每20ms一帧分为若干帧，并对每帧的序列求自相关函数，取自相关函数第一个最大值点算出基音周期，并以帧为横坐标，基音周期为纵坐标画图，并去除野点，最后取图中浊音部分即面积较大部分的值作为基音周期。(Using the autocorrelation function method pitch period, the sound signal is sampled every 20ms frame is divided into a plurality of frames, and each frame sequence uates the autocorrelation function, taken the first maximum point of correlation function calculated the pitch period, and frame as the horizontal, the vertical axis pitch drawing and remove outliers, and finally take the value of the area that is part of a larger portion of the figure as voiced pitch.)

The Seismic Unix Project is partially supported by the CWP Consortium Project. In the past, the Seismic Unix Project has received partial support from the Gas Research Institute (GRI) and the Society of Exploration Geophysicists Foundation.

七单元天线阵MUSIC DOA估计： d=1 ， 天线阵元的间距； lma=2， 信号中心波长； 四输入信号； A=[A1,A2,A3,A4]， 得出A矩； 四信号的频率d=[1.3*cos(v1*n) 1*sin(v2*n) 1*sin(v3*n) 1*sin(v4*n)] 构造输入信号矢量 U=A*d 总的输入信号 总输入信号的协方差矩阵 [s,h]=eig(c) 求协方差的特征矢量及特征值 取出与零特征值对应的特征矢量 求协方差矩阵的逆矩阵 应用Music法估计输出 绘出各波达方向图(Seven-element antenna array MUSIC DOA estimates: d = 1, Antenna Array pitch LMA = 2 signal center wavelength four input signals A = [A1, A2, A3, and A4], drawn A moment tetra-frequency of the signal D = [1.3* cos (V1* n) 1* ⁢ sin (v2* n) 1* sin (v3* n) 1* sin (V4* n)] constructed input signal vector U = A* D of the total input signal of the total input signal covariance matrix [S] = EIG (c) seeking covariance feature vector and the feature value removing and corresponding to the zero eigenvalues ​ ​ characterized vector seeking covariance matrix inverse matrix Applications Music estimate output plotted DOA Figure)

COFDM diseñ o y simulacion

基于灰色预测模型对旅游人数的预测matlab 灰色预测代码(Grey prediction model based on the forecast of tourist arrivals Grey code matlab)

Volatge balancing of Multi level converter