matlab7.0

电子书，LabVIEW与Matlab混合编程，很好的东东。(E-book, LabVIEW and Matlab mixed programming, good Dongdong.)

it is project for servillence system system.

说明：  可根据所给参数绘制出头模型图形，并对其进行投影和反投影重建的算法，可正常运行，得到较为理想的结果。(Can be drawn according to the parameters of his early model of graphics, and its projection and back projection reconstruction algorithm, running, get more desirable results.)

通过matlab代码画出的各种概率密度函数图形仅供参考(By matlab code to draw the beta probability density function graph for reference only)

丹麦技术大学的J爀最攀渀 Arendt Jensen教授开发的医学超声成像仿真软件(The Technical University of Denmark, developed by Prof. Jrgen Arendt Jensen medical ultrasound imaging simulation software)

基于matlab gui的程序设计，模仿嫦娥一号的探月运动(matlab changeyihao)

MATLAB 牛顿下山法的一个小程序，原理就不详细说了。因牛顿迭代法受初值选取的限制，为防止迭代发散，对迭代过程再附加一项要求:|f(x(k+1))|<|f(x(k))|,将牛顿法迭代的结果:x(k+1) =x(k)-f(x(k))/f (x(k))和前一近似值x(k)适当加权平均做为新的改进值:x(k+1)=u*x(k+1) +(1-u)*x(k),其中u(0<> 迭代时u取1开始，逐次减半计算，直至附加要求符合为止。实例计算中x(k)=x(0)不变，只更新u和x(k+1)，直至:|f(x(k+1))|<|f(x(k))|（即|f(x(1))|<|f(x(0))|)，然后更新下山因子为u=1,继续以牛顿法迭代。(MATLAB Newton-down a small program, the principle is not explained in detail. Newton iteration by the initial value of the selected limit, in order to prevent additional iterative divergence, the iterative process a request: | f (x (k+1)) | < | f (x (k)) | Newton iteration Results: x (k+1) ' = X (k)-f (x (k))/f' (x (k)) and a previous approximation x (k), appropriately weighted average as a new improved value: x (k+1 ) = u* x (k+1) ' + (1-u)* x (k), where u (0 < u> iteration take successive calculated at 50 until the additional requirements found so far. examples of calculation of X ( k) = x (0) unchanged profile u and x (k+1, hungry) until: | f (x (k+1)) | < | f (x (k)) | (i.e. | f (x (1)) | < | f (x (0)) |), then profile downhill factor for u = 1, to continue to Newton iteration.)

MATLAB summary: summary about how to use matlab platform

Gabor filters image processing

ITU标准下的大气传播衰减计算程序，使用简单方便，只需要输入传播角度，高度，气候环境，即可计算大气传输损耗（不包括自由空间传播损耗）(According to the ITU standard, this program calculates the atmospheric loss. It is simple to use, you only have to input some parameters such as height, elevation angle, etc)