Experiment 1- Introduction to MATLAB

一种结合PSO及改进BP网络的辨识方法 很好的微粒群应用算法辨识效果很好(A combination of PSO and the improved BP network identification method of application of particle swarm algorithm is a very good very good identification results)

有关多背包问题的遗传算法，非常不错，对初学者很有帮助(For multiple knapsack problem genetic algorithm, very good, very helpful for beginners)

AGILENT关于OFDMA设计的难得的参考资料(This application note is a guide to effective measurement and troubleshooting of IEEE 802.16e OFDMA “Mobile WiMAX” signals, components, and systems. The most distinctive term used to describe this new technology is OFDMA or orthogonal frequency division multiple access, and therefore we will use the term OFDMA in this note as a compact reference to the signal and its associated standard.)

高精度的matlab求微分方程组的边值问题的bvp6 c的解算器，精度高于常用的bvp4c。(bvp6c solver for ode bvps in matlab)

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)

Libelas(大规模高效立体匹配库)是cross-platfrom c++ 图书馆与MATLAB计算包装差异大的地图图像。输入 是一双纠正灰度立体图像的大小相同。输出相应的 差距的地图。(Libelas (LIBrary for Efficient LArge-scale Stereo matching) is a cross-platfrom C++ library with MATLAB wrappers for computing disparity maps of large images. Input is a rectified greyscale stereo image pair of same size. Output are the corresponding disparity maps.)

说明：  使用小波变换中的db5进行突变信号奇异值检测的简单程序(Wavelet transform the db5 mutation detection signal singular values simple program)

计算卫星位置的fortran程序，用切比雪夫内插任意时刻的三位坐标,精度课达mm级别。内有数据课进行对比验证，内容讲解的不是很详细请原谅。(Calculation of satellite position fortran program Chebyshev interpolation at any time of the three coordinates, accuracy up to mm-level classes. There are data comparing class verification, the content does not explain in great detail please forgive me.)

一种提取脑电信号EEG特征的时频处理方法，可以参考HHT（Hilbert-Huang Transform的资料）(EEG characteristics of a kind of EEG time-frequency approach can refer to the HHT (Hilbert-Huang Transform information))

cantera2.02 国外经典化学反应计算开源程序Cantera，基于MATLAB(cantera2.02 foreign classic chemical reaction open source Cantera, based on MATLAB)