grain-growth

DIY无线天线大集合,提高无线接收距离,成本低(Large collection of DIY wireless antennas to improve wireless reception range, low cost)

MATLAB语法与绘图,压缩文件里是图片格式文件.(MATLAB grammar and graphics, compressed file is a picture format.)

讲述了matlab8的工作原理和图像处理过程，具有重要的意义(The work described matlab8 principle and image processing, is of great significance)

说明：  几点说明： 1、source_main.m为主函数，qpsk.m和spread.m为子函数； 2、在matlab工程目录下运行source_main.m即可； 3、为方便大家理解，特以P-CCPCH信道的处理进行了举例，若大家认为资料有用的话请回帖， 我会将整个WCDMA下行信号源的matlab代码提供给需要的人； 4、为方便初学者学习，特提供了我自己开发时参考的3GPP资料，并在关键位置做了记号。 (Some explanations: 1, source_main.m main function, qpsk.m and spread.m as Functions 2, matlab project directory can be run source_main.m 3, to facilitate us to understand, especially for P-CCPCH channel processing of the example, if we consider the information useful, please Replies, I will put the WCDMA downlink signal source matlab code available to people in need 4, for the convenience of beginners to learn, especially when providing a reference to my own development 3GPP information, and in key positions in the mark.)

比较生存曲线可以用统计假设测试日志秩检验。它是用来测试的零假设，没有任何区别的人口的生存曲线（即概率事件发生在任何时间点是相同的每个人口）.这个函数使用卡普兰曲线的程序来估计生存函数.(Comparison of two survival curves can be done using a statistical hypothesis test called the log rank test. It is used to test the null hypothesis that there is no difference between the population survival curves (i.e. the probability of an event occurring at any time point is the same for each population). This function use the Kaplan-Meier procedure to estimate the survival function, so it is mandatory to download )

主要讲述了数码相机MIPI接口协议说明，工作模式及信号传输原理等(Camera Interface Overview)

this is digit recognition using som

直流电机双闭环调速系统MATLAB仿真，有程序，有word报告，有出图(DC motor double closed loop speed control system MATLAB simulation)

单交叉口经典模糊控制matlab代码，毕业设计的东西，搞得好辛苦啊(Single Intersection classic fuzzy control matlab code graduation design stuff, good job hard ah)

Dynamic texture recognition using local binary patterns with an application to facial expressions(Dynamic texture recognition using local binary patterns with an application to facial expressions.pdf)