weiner

Jacobi Iteration - Method of Simultaneous Displacement for a system of linear equations

The constant reverse voltage of the zener diode makes it a valuable component for the regulation of the output voltage against both variations in the input voltage from an unregulated power supply or variations in the load resistance. The current through the zener will change to keep the voltage at within the limits of the threshold of zener action and the maximum power it can dissipate.

在分析结构损伤后，给结构添加噪声，再对结构不同损伤情况下的分析(After the analysis of structural damage to the structure adding noise, and then the structure is different in case of damage)

里面有对simulink的讲解和一些典型的例子，还包括S函数的例子，把里面的这些例子都学会，基本上就掌握了matlab simulink的基本技巧了。(There are explanations of simulink and some typical examples include the S function of the examples, the inside of these examples Society, basically on the matlab simulink mastered the basic skills.)

这是一个comsol转化成matlab程序，可以做出z轴循环，求出感应电量(This is converted into a comsol matlab program, you can make the z-axis loop, find the sensor power)

在Matlab simulink仿真环境中，用恒压法实现MPPT模型仿真。(IN Matlab simulink simulation environment, MPPT model simulation using the constant voltage method.)

用平面波展开法计算二维声子晶体带隙,包括脚本文件和函数文件形式，有较好的参考价值。( Computation Method D phononic bandgap plane wave, Including script files and function files in the form, There are good reference value.)

1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇(1-32 is: graphics application papers 33-66 are: interface design articles 67-84 is: graphics processing chapter 85-100 is: Numerical Analysis Section)

image processing in matlab

Description All the filters have needed neighbor data the current pixel in the image,here this function(res_window=cover_window(how many neighbor value for row ,how many neighbor value for column ,input image) produce the result( res_window(row,col,total size)) input inp_img=2d data(row * col) w=cover size w=[3 3] = 3x3 cover pixel generation output o_img=result 3d o_img(w(1),w(2),r*col) if inp_img=[1 2 3 4 5 6 ] w=[3 3] Soloution it will construct new image new_img=[0 0 0 0 0 0 1 2 3 0 0 4 5 6 0 0 0 0 0 0] result o_img(:,:,1)=[0 0 0 0 1 2 0 4 5] o_img(:,:,2)=[0 0 0 1 2 3 4 5 6] finally o_img(1:3,1:3,6) example a=imread( pears.png ) b=rgb2gray(a) c=cover_window( b,[3 3]) 3x3 window construction