仿真

adaptive equalization for decision feedback equalizer

说明：  偏最小二乘法模拟程序，希望对大家编程有启发(PLS simulation program, we hope to have inspired programming)

说明：  潮流计算节点电压功率，潮流网损 输入格式 节点总数 PQ节点数 PV节点数 支路数 变压器支路数 （数据） 节点 P Q （PQ节点） ... ... .... 节点 P V （PV节点） ... ... .... 节点 V o（相角°） （平衡节点） 节点一 节点二 电阻 电抗 半电纳 (普通支路) ... ... .... ... ... 节点一 节点二 电阻 电抗 变比标幺值 （变压器支路，阻抗归 ... ... .... ... ... 算到节点一一侧）(Power flow calculation,including node voltage power and power flow network loss.)

matlab beginners guide

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)

matlab中的巴特沃斯滤波器的C语言实现(matlab butterworth filter in C language)

单边带解调的xinlinx建模，实现完整的解调同步和下变频(Single sideband the demodulation of xinlinx modeling, to achieve complete demodulation synchronization and downconversion)

水纹干涉图样. 可以自由设置两个波源的位置,振幅以及频率.形成水纹干涉图样并动画展示.(Waterlines interference pattern. the two wave source location, amplitude and frequency can be set freely . )

高阶统计量常用函数的源代码，以及其基本用法。其中包括参数模型高阶谱估计，线性预测模型，谐波恢复与DOA估计，非线性随机过程，wigner时频分析，时延估计等matlab源代码和一些基本用法。希望对大家有帮助！(Higher-order statistics of the source code for common functions, as well as its basic usage. Parameter model which includes higher-order spectrum estimation, linear prediction model, harmonic retrieval and DOA estimation, nonlinear stochastic process, wigner time-frequency analysis, such as time-delay estimation matlab source code and some basic usage. Hope everyone has to help!)

利用MUSIC算法对函数的频率进行估计并画出图形(you can obtain frequency of the function by the MUSIC algorithm and get the figure)