MiMoWireSystem

nonlinear system identification using neural networks on matlab

雷达系统中MTI归一化幅度响应的MATLAB算法仿真。(MTI simulation for radar signal process it is good。)

Solver for Deffuant-Weisbuch models

empirical formula with kaiser clc clear all fs=1000 fc=250 df=50 r=0.001 f=fc/fs dw=2*pi*(df/fs) a=-20*log(r) n=floor(((a-8)/(2.285*dw))+1) if a>50 b=0.1102*(a-8.7) elseif a>=21 && a<=50 b=0.5842*((a-21)^0.4)+0.07886*(a-21) elseif a<21 b=0.0 end w=kaiser(n,b) for i=1:n if i~=(n-1)/2 hd(i)= (2*f*sin((i-((n-1)/2))*2*pi*f))/((i-((n-1)/2))*2*pi*f) elseif i==(n-1)/2 hd(i)=2*f end end for j=1:n h(j)=w(j)*hd(j) end subplot(3,1,1), plot(w) subplot(3,1,2), plot(h) subplot(3,1,3), plot(h,n)

simulink中自己搭建的永磁同步电机模型，在相同参数下与系统自带的模型仿真对比，其输出波形完全一致，说明搭建的模型正确(Simulink u4E2D u81EA u5DF1 u642D u5ED u5ED u7EF0 u7EF0 u7R0 U81EA u5E26 u7A1 u6A1 u5782 u5R2 u5B09 u5B09 u0B09 U6A21 u578B u6B63 u786E)

高级图像显示，利用Matlab原程实现，运用面广，可以显著提高图像的质量(High image shows that the use of Matlab realize the original way, using a wide range, can significantly improve image quality)

wireless sensor network routing protocol leach data aggregation

fuzzy control of Cement kiln

Introduction to matlab at MIT 麻省理工大学的matlab基本教程(Introduction to matlab at MIT Massachusetts Institute of Technology University of basic tutorial matlab)

doing的终极地狱完整版。可以说doing的这个版本在ES2架构中算首屈一指的，虽然他说自己的作品很粗糙，但在多年来的国内MUD界来说，其严谨细致的思路及程序写法是绝对可以值得借鉴学习。可惜doing曾经说过，不太有可能再写文字MUD，如果可能再写也不会做现有hell架构的MUD。但这个版本足以是我们受益非浅了。(doing the ultimate hell full version. You can say that doing this version ES2 architecture considered second to none, although he says his work is very rough, but in the domestic sector has a MUD, its strict and meticulous thinking and program wording is definitely worth learning to learn. Unfortunately, doing once said, is not possible to write a text MUD, if possible, do not write it hell existing architecture MUD. But this version is that we greatly benefit from a sufficient.)