Dreamweaver

从惯性导航原理入手对 OceanMaster 格式数据进行解析，通过软件开发对 OceanMaster 格式数据进行解码，提取各种数据包，并通过紧耦合算法对原始数据进行处理，分别获取三维坐标系下的位置均方差以及位置信息.(This article starts with the principle of inertial navigation for OceanMaster format data parsing,and decrypts the OceanMaster format data,extracts all sorts of data packets and deals with the original data through the correct posture and Kalman filtering method,through which obtains the three dimensional coordinates of position variance.)

版图验证工具calibre的rule deck写法教程(Layout verification tool calibre the rule deck writing tutorial)

飞行器惯性导航控制系统设计仿真平台实现方案(Aircraft inertial navigation control system design and simulation platform for the realization of the program)

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.)

资深工程师写的关于运放噪声分析的文档,对模拟电路工程师很有价值!(Senior engineer to write on the op-amp noise analysis of the document, right analog circuit engineers valuable!)

电信行业出账模块设计文档：月末出账 形成账单(The telecommunications industry account module design document)

对汽缸垫的研究测试。十分的有科技前沿性啊啊、(Cylinder pad for research and testing. There are very cutting-edge science and technology ah ah,)

说明：  深入理解计算机系统（原书第2版）.pdf(In-depth understanding of computer systems (the original book version 2). Pdf)

FMCOS通用技术手册 上海复旦微电子股份有限公司(FMCOSgeneraltechnicalmanual.zip)

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)