CoverageProb-Matlab

matlab粒子群算法程序，Particle Swarm Optimization in Matlab(Particle Swarm Optimization in Matlab)

说明：  这里包含了几个简单的复杂网络的程序，蛮有用。不过有些程序不是很完美(Here contains a few simple procedures of complex networks, and quite useful. However, some programs are not perfect)

视觉目标识别与跟踪是图像分析中的重要研究领域，在现代化社会中具有广泛的发展前景和应用价值。本文深入研究多示例学习方法，将其应用在视觉目标识别与跟踪领域，解决了在目标识别领域中需要大量制作无歧义样本的问题，解决了目标跟踪领域中，易出现跟踪漂移的问题。(Visual object recognition and tracking is an important image analysis research field, has a broad development prospects and value in the modern society. In this paper, in-depth study of multi-instance learning method, its application in the field of visual object recognition and tracking, resolved in the field of object recognition requires a lot of making unambiguous sample problems to solve in the field of target tracking, issue tracking drift prone.)

program about ecg data filter in matlab

说明：  该程序实现了语音数据转换，将一个 wav 格式的文件读入计算机，为语音信号的进一步处理做准备。(The program realize the speech data conversion. It can read a wav file into the pc, which put a way for the speech signal further study.)

Processing EKG via Pan-and-Tompkins algorithm

Multi-Task Warped Gaussian Process for Personalized Age Estimation 文章的matlab源代码(matlab code of paper Multi-Task Warped Gaussian Process for Personalized Age Estimation )

通过对hilbert变换的matlab实现，增加对hilbert变换的理解，(Matlab by hilbert transform implementation, to increase the understanding of hilbert transform,)

用MATLAB实现LTP和LBP算法，并分别将处理后的图像显示出来(LTP and LBP algorithm by matlab, respectively, the processed image is displayed)

主从多机通信系统可靠性建模，对一个主从多机系统进行建模分析，其中基本单位为元件，有着不同的概率分布寿命，不同元件串联组合成不同部件，部件组合成各分系统，从而根据元件情况可推定系统状态，我们会计算十年中系统地各项指标，推断时间步长为1小时(Master-slave multi-machine communication system reliability modeling, a master-slave multi-machine system modeling and analysis, in which the basic unit for the components, the probability distribution of different life, a different tandem combination of components into different parts, components into subsystems , so the situation could be construed in accordance with the system components, and we will calculate ten indicators in a systematic manner, inference time step 1 hour)