linux

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)

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 )

大众汽车故障诊断信息，OBD总线的故障码列表。(Volkswagen troubleshooting information, the OBD bus fault code list.)

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)

用于计算振动信号的频域特性，可获得结构的振型参与系数、各阶固有频率、阻尼等(Frequency domain characteristics of vibration signals)

量子势阱组参数以及其代码实现等，用matlab即可打开(Quantum well group parameters)

拓扑图常见，用于各行业网络拓扑，及网络技术规划(Topographic maps are commonly used for network topology and network technology planning in various industries.)

说明：  空间插值方法汇总 Inverse Distance to a Power（反距离加权插值法） Kriging（克里金插值法） Minimum Curvature（最小曲率） Modified Shepard s Method（改进谢别德法） Natural Neighbor（自然邻点插值法） Nearest Neighbor（最近邻点插值法） Polynomial Regression（多元回归法） Radial Basis Function（径向基函数法） Triangulation with Linear Interpolation（线性插值三角网法） Moving Average（移动平均法） Local Polynomial（局部多项式法） (Spatial Interpolation Methods Summary)

shannon chinezee coding

包含所有informatica powercenter的错误信息以及排错方法(Contains all the informatica powercenter error messages and troubleshooting techniques)