machine-learning-ex2

说明：  用MATLAB编写的kalman滤波程序，仅用于参考学习(Kalman filter program)

12864滚动显示汉字,驱动芯片是ST7920

离散随机分离的相关matalb程序。。。。。。。(Discrete random separation matlab)

《CMOS电路模拟与设计—基于Hspice》的.35工艺库(CMOS simulation process library based on HSpice)

说明：  这些文件将在两用户非正交多址（NOMA）系统中实现用于信号检测的深度学习方法[1]。三个主要脚本分别是生成训练数据、训练神经网络和生成测试结果。该神经网络用于相位衰落的静态标量信道，用于NOMA系统中同时检测2个用户的单个子载波上的传输符号。考虑并测试了两种情况：一种是导频符号数目较少，另一种是循环前缀长度较短。在这两种情况下，深度学习方法都比传统的信道估计方法具有更强的鲁棒性。(These files are to implement the deep learning method for signal detection in a two-user non-orthogonal multiple access (NOMA) system [1]. The 3 main scripts are to generate training data, to train the neural network and to produce testing results, respectively. The neural network is trained for a static scalar channel with phase fading and is used to detect transmitted symbols on a single subcarrier for 2 users simultaneously in a NOMA system. Two scenarios are considered and tested: one is with fewer number of pilot symbols and the other is with shorter length of cyclic prefix. The deep learning method is shown to be more robust than conventional channel estimation methods in both cases.)

西门子SPC3的profibus-dp从站设计(siemens spc3 profibus-dp Slave station design)

说明：  点云几何建模，根据树干模拟圆柱。采用的算法是最小二乘拟合圆，得出各段圆心坐标，在根据各段半径，模拟出圆柱(Point cloud geometric modeling, according to the trunk simulation cylinder. The algorithm used is the least square fitting circle to get the coordinates of the center of each section. According to the radius of each section, the cylinder is simulated)

python网络数据采集 高清pdf 特别推荐这本书，通俗易懂，作者讲的非常详细(Python Network Data Acquisition high-definition pdf)

Splashy是基于Linux系统的下一代的Boot Splash。它不需要打补丁而且就象正常的包一样安装。用Splashy能使你的启动过程变得赏心悦目。-Splashy is based on the Linux system, the next generation of the Boot Splash. It does not need patching and package the same as a normal installation. Splashy will enable you to use the boot process has become a pleasure.

关于键盘使用的经典代码-use of the classic keyboard code