BRPCA

说明：  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.

adaptive median filter for image

这是我找到的MATLAB神经网络程序设计源程序(This is what I found MATLAB neural network program design source)

take a input vector which is no of users of b[kx1] and code vector which will be a matrix now s=[Nxk],where then give to matched filter,non-correlating detector, by randomised sequence.

Toolbox for biomedical signal processing

该文件是空间矢量调制的整流级。采用m文件编程。输出直流波形符合理论推导，比较理想。(This file is space vector modulation of the rectifier stage. The m file programming. Output dc waveform conform to the theoretical derivation, more ideal. )

动力锂离子电池二阶等效电路模型（MATLAB/simulink环境下运行）(Lithium-ion battery second-order equivalent circuit model (running MATLAB/under simulink environment))

说明：  使用matlab实现傅里叶变换（数字图像处理算法）(Using Matlab to implement Fourier transform (digital image processing algorithm))

A brief code to calculate the state variable feedback controller gain and the observer gain

Minimum Error thresholding method realized in Matlab environment based on Kittler and J. Illingworth, "Minimum error thresholding," Pattern Recognition, vol. 19, pp. 41-47, 1986.