李雅普诺夫稳定性分析

隐马尔科夫语音识别，源代码，只需修改部分便可实现其他功能。(HMM sound recognition)

image compression using Neural Network with psnr

A Novel Neural-Network Model for Deriving Standard 12-Lead ECGs From Serial Three-Lead ECGs: Application to Self-Care

说明：  求解关联维数123445566666777777888(Solving the correlation dimension 123445566666777777888)

在MATLAB中用复合辛普森公式求函数的二重数值积分。(realizing double integral by Complex Simpsons Formula in MATLAB)

solving job shop scheduling problem with setup times by Tabu Search Algorithm

When capturing an iris image under unconstrained conditions and without user cooperation, the image quality can be highly degraded by poor focus, off-angle view, motion blur, specular reflection (SR), and other artifacts. The noisy iris images increase the intra-individual variations, thus markedly degrading recognition accuracy. To overcome these problems, we propose a new iris recognition algorithm for noisy iris images.

双向DCDC恒流放电仿真，buckboost变换器，400v到200v恒流仿真(Two way DCDC constant current discharge simulation, buckboost converter, 400V to 200V constant current simulation)

对控制点的De Casteljau剖分算法(Of the control point De Casteljau Dissection Algorithm)

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.