Track-Association-with-PDA

模集大作业中仿真用到的电路噪声分析的matlab源代码(noise analysis)

matlab应用程序百例之图形应用篇，适合初学者参考(matlab application, graphics application 100 cases of articles, suitable for beginners reference)

用matlab实现简单的卡尔曼滤波功能，(Using matlab to achieve a simple Kalman filtering)

ADC simulink model based compare

用LMSE方法验证两类的可分性，介绍了LMSE算法(LMSE method validation can be divided into two categories , the LMSE algorithm )

灰度动态模型GM(1,1)的建立，供大家参考(Establishment of gray dynamic model GM (1,1))

this code gives information about solar panel rotation and direct light falling on it

说明：  Matlab教程，初学者很好的学习材料。拿来分享。(Matlab tutorial for beginners good learning materials. To be shared.)

说明：  实现多愊图像的隐藏，对于隐藏算法有很好的学习(Multi melancholy images of hidden, hiding algorithm for learning good)

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.