FOTF Toolbox

国外写的meanshift找聚类中心和类别数目的源程序，有实例，可直接使用(Meanshift looking abroad to write the number of cluster centers and the type of source, there are instances, can be used directly)

e BOOK ON FACTS DEVICES

演化算法标准测试函数CEC2006,括Matlab代码，JAVA，C代码。(Problem Deˉnitions and Evaluation Criteria for the CEC 2006 Special Session on Constrained Real-Parameter Optimization)

这本matlab简单易懂，非常适合初学者，我就是看的这本教程才学会的、(This matlab straightforward, very suitable for beginners, I just look at this tutorial was learned,)

基于Matlab对约瑟夫森结（Josephson Junction）RCSJ模型的交直流I-V特性及非线性混沌现象进行数值模拟。通过计算机数值模拟得到该模型的非线性微分方程数值解，研究了RCSJ模型中各参量对约瑟夫森结的影响，进而简要分析其I-V特性和非线性混沌现象的产生机理，绘制出约瑟夫森结的交直流I-V特性曲线、非线性微分方程的相图及因其高度非线性而引起的通过倍周期分岔和阵发性原理进入混沌状态的分岔图。还给出庞加莱截面及功率谱。(Matlab based on the Josephson junction (Josephson Junction) RCSJ model AC and DC IV characteristics and non-linear numerical simulation of chaotic phenomena. Through computer simulation model by the numerical solution of nonlinear differential equations to study the RCSJ model parameters on the impact of Josephson junction, and a brief analysis of the IV characteristics and the emergence of the phenomenon of non-linear chaotic mechanism, drawn Josephson junction IV characteristic curve of AC-DC, non-linear differential equations and the phase diagram because of its highly nonlinear arising through period-doubling bifurcation and chaotic state of paroxysmal principle of access to the bifurcation diagram. Poincare cross-section and was also given power spectrum.)

electric motor with torque speed control

刘利生所著外弹道测量数据处理一书的电子版，比本站版本更为清晰的版本。(Exterior ballistic measurement data processing，author liu li sheng,2001.)

在MATLAB环境下，P0309运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理(In the MATLAB environment, P0309 use of five kinds of different gradient enhanced image sharpening method P0310: Image of high-pass filtering and mask treatment)

R语言学习资料,R语言与统计分析-汤银才(R language)

说明：   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)