gps2utc

转载 现代通信系统使用MATLAB（刘树堂，内有代码）1(Reproduced in modern communication systems use MATLAB (LIU Shu-tang, which has the code) 1)

图像清晰度分析，基于平均值法，数值模拟，matlab(Image resolution analysis, based on average method, numerical simulation of matlab)

MATHEMATICAL MODELS OF DISTRIBUTION CHANNELS 畸变信道数学模型。一本介绍畸变信道数学模型的外文书，对通信信道感兴趣的书友，可以看看。很好的一本英文书，一起分享。 (MATHEMATICAL MODELS OF DISTRIBUTION CHANNELS。A book about communication channel ,someone who is interest in DISTRIBUTION CHANNEL must have a look. It is really a good book,share with all of you. )

求两个信号的时延估计，通过时延估计对声源实现定位(Ask the two signal delay estimation, time delay estimation of sound source by positioning to achieve)

这是一个非常好的视网膜皮层理论算法，里面含有代码。(This is a very good theoretical algorithm retinal cortex, which contains the code.)

基于MATLAB平台上，计算HU矩的算法编程。可以不用花时间去考程序源代码和下载链接。 (MATLAB-based platform, the calculation of moments algorithm HU programming. Can not take the time to take a program source code and download link.)

说明：  本书是“移动通信前沿技术系列”之一，全书共分18个章节，主要对协作通信及网络知识作了介绍，具体内容包括空时分集和编码、空时频分集与空时频编码、中继信道及协议、单中继协作通信、多节点协作通信等。全书内容分为三部分，第一部分回顾传统的MIMO系统，介绍空间、时间、频率分集的概念。第二部分主要考虑协作通信物理层的关键问题，并对其提出了行之有效的解决方案，比如针对协作通信的分布式特点，提出分布式空时(频)码；针对协作通信的频谱效率问题，提出了新颖和有效的协作方案。第三部分介绍协作通信对物理层之上的MAC层、网络层及应用层产生的影响，内容涉及如何协作路由，如何通过协作使网络覆盖范围增大，如何延长网络寿命等。(This book is one of the "cutting edge mobile communication technology series". The book is divided into 18 chapters, mainly on cooperative communications and network knowledge and specific content including the empty hours of collection and coding, space-time-frequency diversity and space-time frequency coding, relay channel and protocols, single-relay cooperative communication, multi-node cooperative communications.)

浙大某老师matlab基础课程教材 例子挺多的，复习基础知识有帮助(Zhejiang University course materials based on a teacher matlab example Tingzhi, review the basics of help)

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.

小波包分析提取振动信号中的特征频率，IDW距离反比加权方法，包括随机梯度算法，相对梯度算法。( Wavelet packet analysis to extract vibration signal characteristic frequency, IDW inverse distance weighting method, Including stochastic gradient algorithm, the relative gradient algorithm.)