transfer_function

多目标处理程序 matlab 数据关联的JPDA(Multi-target processing program matlab data associated with the JPDA)

LBM方法求解流体力学中的lid driven flow 问题。输入迭代次数，输出流场速度矢量分布图。(LBM method for solving fluid mechanics in the lid driven flow problems. Enter the number of iterations, the output flow velocity vector distribution.)

完备经验模态分解，是EEMD的改进算法，有效的减小了模态混叠现象。(Complete empirical mode decomposition is EEMD improved algorithm effectively reduces the modal aliasing. .)

对于阵列天线以及其他种类天线的2维及3维仿真，可以调节波长，天线长度，以及倾角等参数。(For 2-dimensional and 3-dimensional simulation of the array antenna, and other types of antennas, the wavelength can be adjusted, the antenna length, and the inclination and other parameters.)

说明：  matlab经典优化代码，同时附有BNB优化的工具箱，可以安装调试(classical optimization matlab code, accompanied by BNB optimization toolbox, you can install the debugging)

matalab一些关于金融的工具箱，希望能给大家共享(matalab about the financial toolbox, hope that I can share)

single phase induction motor with permanent capacitor in dq axis

天线和电磁建模与MATLAB，本书介绍了天线的基本概念，采用基于RWG边界元的矩量法对天线和天线阵列进行电磁建模，仿真分析平面使用广为流行的Matlab(Antenna and EM Modeling with MATLAB- Sergey N. Makarov)

使用simulink仿真，实现潮流计算。。。非常详细，可以对学习潮流计算和simulink的提供帮助。 (Use simulink simulation, realization flow calculation. ʱ ?? ʱ ?? Very detailed, can help to study the trend of computing and simulink.)

The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202 - 217(The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202- 217)