Annappa

基于matlab软件的主动配电网运营源代码(Matlab software-based active source distribution grid operator)

OFDM 技术具有频谱利用率高、成本低等特点，随着人们对通信数据化、宽带化、个人化和移动化的需求，OFDM 技术在固定无线接入领域和移动接入领域将越来越得到广泛的应用(OFDM technology has high spectrum efficiency, low cost, and communication data, broadband, personal and moving the OFDM technology will increasingly be in the field of fixed wireless access and mobile access a wide range of applications)

BP neural netowrk regression

牛顿迭代法求解线性方程，其收敛阶数为1次(newton iteration for liear equation)

generates a spatial environment with a variable number of uniformly distributed base stations and randomly placed user

基于支持向量机的模式识别程序，可以实现2分类(Based on SVM pattern recognition program, you can achieve 2 classification)

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.

对pwm整流器双环控制进行仿真，包括速度外环和电流内环。(Simulation for thePWM rectifier control with speed outer control loop and the current inner control loop.)

a=load( q.txt ) width=input( 请输入窗宽 ) step=input( 请输入步长 ) m=length(a) for i=1:floor((m-width)/step+1) s(i,1:width)=a(1,1+(i-1)*step:width+(i-1)*step) end b=max(max(s)) M=s./b Rs=input( 请输入本体集半径 ) nd=input( 请输入检测器数模 ) k=1 while k<=nd d{k}=rand(1,width) for i=1:floor((m-width)/step+1) if (norm(d{k}-s(i,:)))^2<Rs break end end k=k+1 end for j=1:nd for i=1:floor((m-width)/step+1) R(i)=(norm(d{j}-s(i,:)))^2(a = load (' q.txt' ) width = input (' Please enter the window width' ) step = input (' Enter step size' ) m = length (a) for i = 1: floor ((m-width)/step+1) s (i, 1: width) = a (1,1+ (i-1)* step: width+ (i-1)* step) end b = max (max (s)) M = s./b Rs = input (' Please enter the body set radius' ) nd = input (' Please enter the number of detector modules' ) k = 1 while k < = nd d {k} = rand (1, width) for i = 1: floor ((m-width)/step+1) if (norm (d {k}-s (i ,:)))^ 2 <Rs break end end k=k+1 end for j=1:nd for i=1:floor((m-width)/step+1) R(i)=(norm(d{j}-s(i,:)))^2)

内容是数字信号处理原理实现及应用这本书的matlab源代码，(Content is digital signal processing to achieve the principle and application of this book matlab source code,)