dec

实上，我们可以把系统框图中外编码器、交织器和内编码器三部分级联后的总体，看作一个级联码的编码器，同理，外译码器、去交织器和内译码器三部分级联后的总体构成了级联码的译码器。 本次仿真外编码采用（7，4）HAMMING码，内编码采用（2，1，3）卷积码。交织编码采用（7，4）卷积交织编码或循环等差交织编码。除特别说明外，交织编码采用前者即（7，4）卷积交织编码。 (failed to translate)

二元算术编码，即实现0和1 的算术编码，matlab源程序(Binary arithmetic coding, which implements the arithmetic coding 0 and 1, matlab source code)

机器人机构的速度与加速度可以用通过程序来计算得出，方式更为简便(Robot body velocity and acceleration can be calculated by the program, more convenient way)

Program ordering 4 numbers

TDC-GP22时间数字转换器临时数据手册(TDC-GP22 Time-digital converter temporary data sheet)

％绘制系统函数的零极点图 ％ ％pzplot(num,den) ％num为系统函数分子多项式的系数向量 ％den为系统函数分母多项式的系数向量 ％( Mapping system function pole zero diagram pzplot (num, den) num molecular function for the system polynomial coefficient vector den for the system function denominator polynomial coefficient vector)

mtoc++ - Doxygen filter for Matlab and tools

定位技术是无线传感器网络中关键的基础支撑技术, 目前提出了许多静态网络的节点定位算 法, 移动无线传感器网络的定位研究相对较少. 针对定位节点和参考节点随机运动的网络模型, 提出了 一个基于动态网格划分的蒙特卡罗定位算法. 算法中当接收的参考节点数超过一定阈值时使用最远距 离节点选择模型, 选出部分参考节点参与定位和信息转发, 节约能耗. 接着基于选择的或所有接收的参 考节点构建采样区域, 进行网格划分, 使用网格单元数计算最大采样次数, 在采样区域内采样并使用误 差补偿的运动模型进行过滤, 提高了采样效率, 减少了计算开销, 并保证了较好的定位精度. 仿真实验表 明算法在定位精度, 计算开销、能耗等方面都具有较好的性能.(Positioning technology is critical in wireless sensor networks based supporting technologies, currently made many static network node localization algorithms, the positioning of mobile wireless sensor network research is relatively small. Locate node and a reference node for random motion network model, proposed a Dynamic meshing based Monte Carlo localization algorithm. algorithm when the received reference nodes exceeds a certain threshold, the most distant node selection model selects some reference nodes involved locating and forwarding information, save energy. then based on the selection or building all received reference node sampling area, meshing, the number of grid cells used to calculate the maximum sampling frequency, the sampling area sampling and using motion model error compensation filter to improve sampling efficiency, reducing the computational overhead and to ensure a better positioning accuracy. Simulation experiments show that the algorithm in positioning accuracy,)

conventional simulink statcom

THIS IS THE MATLAB CODE FOR PTS TO REDUCE PAPR