scyt_interplotion

Code to calculate the scatter, extinction, and backscatter efficiencies of a spherical particle

这是一个关于最小二乘法的程序，可能有点问题，希望大虾帮忙看一下，急求。(This is one of the least-squares method of procedure, may have problems in the hope of tremendous help to see if promptly.)

图论算法，里边的内容包括最短路径，最小生成树，最大流，遍历的算法及详细讲解。(Graph algorithms, including inside the shortest path, minimum spanning tree, maximum flow, traversal algorithms and detailed explanation.)

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)

本文介绍了MATLAB中simulink使用的一些技巧和规则，挺有用的(This paper introduces the use of MATLAB in simulink some of the skills and rules used in quite)

说明：  对仿真的非平稳信号进行Hilbert-Huang变换，分析信号的时频特征。(The simulation of non-stationary signals, Hilbert-Huang transform analysis of time-frequency characteristics.)

hi this is tha face detection source code from asqur

Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA toolbox is presen

数字图像处理及matlab实现 于成波著 适合matlab及图像处理爱好者(Digital image processing and matlab for implementation on into the waves with matlab and the image processing enthusiasts)

Function reconstructs an estimate of a surface from its surface normals by correlating the surface normals with that those of a bank of shapelet basis functions. The correlation results are summed to produce the reconstruction. The sumation of shapelet basis functions results in an implicit integration of the surface while enforcing surface continuity. Note that the reconstruction is only valid up to a scale factor (which can be corrected for). However the reconstruction process is very robust to noise and to missing data values. Reconstructions (up to positive/negative shape ambiguity) are possible where there is an ambiguity of pi in tilt values. Low quality reconstructions are also possible with just slant, or just tilt data alone. However, if you have full gradient information you are better off with the Frankot Chellappa algorithm below.