kendo.uniform.mobile

说明：  关于Python的一些资料，帮助快速学习Python(The Guide of Python Quickly)

说明：  重构相空间的嵌入维数及时间延迟得C_C算法的MATLAB代码(MATLAB code of C_C algorithm for reconstructing embedding dimension and time delay in phase space)

程序主要包括：1．MyInit.m 数据初始化 输出参数： XTrueZ 目标真实轨迹 Z0 目标观测值 T 采样周期 Q 系统误差阵 DeltaR 距离误差 DeltaSita 方位角误差 DeltaBeta 俯仰角误差 totaltime 运动时间 montimes 蒙特卡罗仿真次数 2． EKF.m [Z1]= EKF Z1: 输出EKF滤波后结果 3. CMKF.m [Z2]= CMKF Z2: 输出CMKF滤波后结果 4. GetR.m CMKF算法中误差阵R的计算 5． CompareEandC.m EKF和CMKF、最小二乘滤波后结果比较 部分绘图代码不全，具体结果请参见 信号实验作业.doc 文档 6．source.m 产生带野值的数据 7. RemoveWilddata.m 野值剔除算法 (Procedures will include: 1. MyInit.m initialization data output parameters: XTrueZ target the real target trajectory Z0 sampling period T observed value Q system error array DeltaR distance error DeltaSita azimuth error DeltaBeta pitch angle error totaltime exercise time montimes the number of Monte-Carlo simulation 2. EKF.m [Z1] = EKF Z1: Output EKF filtered results 3. CMKF.m [Z2] = CMKF Z2: Output CMKF filtered results 4. GetR.m CMKF algorithm for the calculation of error R array 5. CompareEandC.m EKF and CMKF, least-squares filtering Comparison of part of the drawing code after the failure, specifically the results of experimental work, see the signal. Doc document 6. source.m generate the data with outliers 7. RemoveWilddata.m outliers removed Algorithm)

Matlab code of MCIK-OFDM or OFDM-IM

xml解析方法封装，便于直接解析xml中的value值(python for xml file parser)

用avr控制nrf905的接收程序，自动接收单片机的发送数据。-yong avr kong zhi nrf905 de jie shou cheng xu

有啥不出的文件吗？ 又就赶快用吧，最强大的删除工具Unlok-有啥not see the files? Also use it on as soon as possible, the most powerful tool to delete Unlok

三角高计算，中间站法,可以批量计算，三角高,界面友好-Triangle high calculation method between stations, you can bulk calculation, triangular high-friendly interface

Python机器学习算法—赵志勇，包含电子版书籍和随书代码，供大家学习。(Python Machine Learning Algorithms - Zhao Zhiyong, including electronic books and accompanying codes for everyone to learn.)

说明：  用jwt GUI进行编写的一个小游戏，然后是java的多线程进行控制的(this is a small project to play of the name is TankWar)