rectangulawindow

6根杆四个节点，建立有限元模型，进行受力刚度等分析(Six strokes to four nodes, the establishment of the finite element model for stress analysis of stiffness, etc.)

the newer version from HMMbox 3.2 Matlab toolbox for Variational estimation Hidden Markov Models. (Adapted from Hidden Markov Toolbox Version 3.3 01-Apr-99 and Coupled Hidden Markov Toolbox Version 1.1 01-Feb-01 Copyright (c) by Iead Rezek, Oxford University) The software uses some NETLAB routines (see http://neural-server.aston.ac.uk/netlab/index.html so you ll need to have NETLAB on your search path See the file VERSION for what s new in this version. The observation models has so far been implemented are Gaussian, Poisson and Dirichlet

MATLAB与串口的连接的GUI和M文件，很适用的。参照这个设计思路，可以跟句自己的需要进行修改和完善！(MATLAB GUI with the serial connection and M files, it is applicable. Reference to the design ideas, with the sentences to their own needs can be modified and improved!)

9种不同的方法求解一维函数的极值，包括黄金分割法、插值法等。(Nine different ways to solve the extreme value of the one-dimensional functions, including the golden section method, interpolation.)

Test the optimized implementation of comparison with single-character strings.

说明：  SARwk算法回波仿真matlab程序，有详细的注释(Sar wk algorithm echo simulation matlab program, with detailed comments)

协同微粒群算法，用于原子簇的结构优化。协同微粒群算法模型由南非人Frans van den Bergh提出，对高维问题处理的效果要显著优于基本微粒群算法。(synergies PSO algorithm, for the cluster of structural optimization. Synergy PSO algorithm model from South Africa who Frans van den Bergh, for the high-dimensional problems of the effect was significantly better than the basic particle swarm algorithm.)

彩色直方图（matlab），可以直接求出rgb图像的直方图(Color histogram (matlab))

Modelo de dos rayos de Andrea Goldsmith (figura 2.5, según expresión 2.12) f = 0.9 frecuencia en GHz landa = 0.3/f en m R = -1 coeficiente de reflexión en tierra ht = 10 altura del transmisor en m hr = 2 altura del receptor en m Gt = 1 Gr = 1 Pt = 1 d=10:.1:100000 phase_diff = 4*pi*ht*hr./(landa*d) aproximación Pr = Pt*((landa/(4*pi))^2)*((abs((sqrt(Gt)./d) + (R*sqrt(Gr).*(exp(-sqrt(-1)*phase_diff)))./d)).^2) Pr = Pt*((landa/(4*pi))^2)*(1./d).*((abs((sqrt(Gt)) + (R*sqrt(Gr).*(exp(-sqrt(-1)*phase_diff))))).^2) figure(1), clf, plot((d),10*log10(Pr/max(abs(Pr)))) grid xlabel( log_1_0(d) ) ylabel( Potencia recibida (dBm) )

说明：  支持向量机程序使用实例：通过实例演示怎样使用支持向量机(Support vector machine uses examples: an example how to use the support vector machine)