dbf_read

说明：  该程序是在matlab中利用窗函数法设计滤波器的示例(The program is using the window function matlab filter design example)

电力系统3机系统的暂态稳定仿真程序，子程序为故障前故障中和故障后三个状态(System for power system transient stability simulation program, subroutine, three failures before the failure and fault status)

this code shows the stbc model fluctuation.................................................

计及需求响应的配电网短期负荷精细化预测(Fine forecasting of short term load of distribution network considering demand response)

说明：  卡尔曼滤波算法功能实现，常见的数据处理方法(Solve the problem of noise error)

解决无约束多维极值问题的matlab源码(non-constrant )

DOST extraction code

WSN DRAWING USING MATLAB SOFTWARE PACKAGE

Complete Parallel Port Development. Covers all PP standards.

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)