Draw_special_graphics

自适应滤波器LMS算法（去噪的）自己弄的(LMS adaptive filter algorithm (denoising))

2007版EMD(经验模态分解)完整程序(2007 version of EMD (Empirical Mode Decomposition) integrity procedures)

Achievo ATK 是一个以提升开发速度为其核心目标的业务框架。该框架的所有部分都以减少应用程序代码为目标。它没有提供大量工具类以实现广泛的功能，而是提供了一个通用 框架来减少代码。所有新增特性都经过慎重考虑 — 只有它们在某些地方能够降低开发时间才添加。 Achievo ATK 新特性的添加在某种程度上来说是一种演进式开发。没有专门负责开发新特性的团队；而是基于使用该框架的应用程序的要求来对其进行扩展。 (Achievo ATK is an upgrade to speed the development of the core objectives of the operational framework. The framework All parts are to reduce application code as a target. It did not provide a large number of tools to achieve the broad category of the function, but to provide a general framework to reduce code. All these new properties are the result of careful consideration- they are only in certain areas to reduce the development time to add. Achievo ATK new properties added to a certain extent, this is an evolutionary development. Not specifically responsible for the development of new properties team; It is based on the use of the framework of the application's requirements for its expansion.)

1．A51产生乱数的频数检验及其二次检验； 2．A51产生乱数的序偶检验及其二次检验； 3．A51产生乱数的自相关检验及其二次检验。 (1. A51 produces frequency test and the second test nonce 2. A51 dual test sequence generation and secondary inspection nonce 3. A51 produce autocorrelation test and the second test nonce.)

基于MATLAB的系统分析与设计——神经网络,书籍，pdg格式(MATLAB-based analysis and design- Neural Networks, books, pdg format)

homomorfic filter image

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)

有关soi的资料，matlab对其各种特性进行仿真(Information about soi matlab simulation of its various characteristics)

Script for computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel Zero Forcing equalization The operation is trying to force the interference term to 64×64 system is huge.

说明：  含风力发电机的电网系统，实时调度，频率控制，可变负荷(Real time Dispatch and Frequency control by WGRs for variable load and wind speed conditions)