java-web

会声会影效果程序进程的启动和停止会声会影X4仿AE画中画效果01(去背景）(abc abc abc abc abc abc abc abc abc )

CI信息融合的算法的经典文献，适合做导航和信息融合的人士参考(Distributed data fusion using iterative covariance intersection)

关于485通讯接口若干问题的汇总及相应的解决办法.(About 485 communication interface, a summary of a number of issues and corresponding solutions.)

如何自动安装电脑驱动，大家可以看一下是否需要改动(How to automatic installation computer drive,You may have a look)

说明：  oh my god, this is miles32 files.

jlink仿真器烧录指南，当你的仿真器无法使用时，不防试试(jlink emulator burning guide, when you can not use the emulator, you can have a try)

c8051f02系列芯片手册,具体型号为c8051f020

本资料的功能为：运用数学统计方法和时间序列分析方法对原始振动信号进行分析，获取相应的时域，频域，频域及时间序列模型参数并以此作为特征参数，然后运用距离区分技术进行评估，选取敏感的特征参数作为ART-similarity分类器的输入并进行训练，最后便可识别出设备的性能状态。 基于YU范数对承不同预紧状态的分析，针对进给系统所采集的数据样本事先不知其对应的状态时，则可利用基于YU范数的ART-Similarity监督分类器对其进行诊断分析。针对基于Yu范数ART-Similarity的算法，我上传的文件即为该算法的MATLAB代码，在matlab中，把文件中的关于"ryu0jin32feat.txt" "ryu1jin32feat.txt" "ryu2jin32feat.txt" "ryu3jin32feat.txt" "ryu4jin32feat.txt" "ryu5jin32feat.txt"文件的路径修改正确，即可正常运行，这些文件的主函数为"jingeiART.m"(This information is the function as follows: the use of mathematical statistical methods and time series analysis of the original vibration signal analysis, to obtain the corresponding time-domain, frequency domain, frequency domain and time-series model parameters and as a characteristic parameter, and then distinguish between the use of distance technology assess, select the characteristics of sensitive parameters as the ART-similarity classifier input and for training, the final performance of the device can identify the state. YU-based norm of the bearing preload status in different analysis systems for feeding the data collected samples know beforehand that the corresponding state, can make use of norm-based YU supervision of ART-Similarity Classifier diagnosis of them. Yu-based norm for the ART-Similarity of the algorithm, I uploaded the file shall be the algorithm MATLAB code, matlab, they have replaced the file on the "ryu0jin32feat.txt" "ryu1jin32feat.txt" "ryu2jin32feat.t)

适合初学者学习DWR组件，有相关的配置和详细讲解(provide a code for you to learn dwr )

mapxtreme for java draw rangle