chap2

SVPWM控制仿真程序，经调试通过，与大家共分享，MATLAB7.1(SVPWM control simulation program by debugging through, and we were sharing, MATLAB7.1)

MATLAB解微分方程；遗传算法工具箱；laplace偏微分方程求解；(MATLAB for solving differential equations genetic algorithm toolbox laplace partial differential equations )

Code for solving the different functions and equations for the stream function wave theory. The package contains a few different code to solve for the different equations and variables.

Amplutide Modulation Matlab code2

DFIG wind turbine based on doubly feed induction generator the best generator used

局部极小点，用于局部极小点的程序，还有相应的论文，大家可以下载好好学习，看看老外的编程技巧(find local minimum)

关于粒子滤波基本算法以及改进型的实例仿真，适合初学者对粒子滤波算法的学习(On the basic algorithm and improved particle filter instances of simulation, suitable for beginners to learn on the particle filter)

基于复合形法的最优控制m文件，以实现可直接使用(M files based on optimal control complex method to achieve can be used directly)

一个采用lcmv实现多径信号的波束形成的性能分析，主要关于信噪比和信干噪比(Lcmv performance analysis of multipath signals beamforming, mainly on the SNR and SINR )

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)