dataplot

研究了基于信号强度模型的室内定位技术. 通过运用线性回归、补偿式线性回归和多元回归方法，利用 仿真数据建立了信号强度模型.(Indoor positioning technology based on signal strength model by using linear regression, the compensated linear regression and multiple regression method using simulation data signal strength model.)

多组处理，仅展开一个区块的折叠效果(原生Js和jQuery版)，俗称“手风琴菜单”，习惯叫做折叠菜单，一个页面中布置了多组菜单，部分代码释义如下： 　　var navItem=iBase.Id(‘demo‘).getElementsByTagName(‘h2‘) //此处将jQ区块中的h2也取到了,所以页面会有个小小的错误 (Multiple sets of treatment, only one block to start folding effect (native Js and jQuery version), commonly known as accordion menus , used to be called folding menu, a page layout of the multiple sets of menus, the interpretation of the code is as follows: var navItem = iBase.Id ( demo ) getElementsByTagName ( h2 ) . // Here jQ block will also take to the h2, so the page will have a small mistake)

雷达系统信号流程仿真，从信号产生直到信号接收的整个过程(Radar system signal flow simulation, from the signal generation until the whole process of signal reception.)

matlab动画教程，有关于图形化窗口的创建以及制作(matlab animation tutorials, graphical window on the creation and production)

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

Blind Source Separation with JADE algorithm

Matlab pfile for converting a binary image boundary to a 4-connected boundary.

DCT变换，里面很多有用的matlab程序，你会需要的哈(DCT transform, which a lot of useful matlab program, you will need to Kazakhstan)

求解DEA　CCR BCC 超效率 matlab程序(Solve the DEACCR BCC super efficiency matlab program)

bioinformatics s function pseudo inv-robot