workshop07

说明：  分割对比实验：软硬ESFCM分割结果是差不多的，但是，软ESFCM的执行时间要比硬ESFCM少很多(Split comparative experiments: hardware and software ESFCM segmentation results are similar, but the execution time of the soft ESFCM much less than the hard ESFCM)

matlab2013b，欢迎下载，里面有下载网址，及破解文件！！！(matlab2013b, welcome to download, download URL, and crack file! ! !)

successive mmse precoding for Nt Nr transmit and receiver antennas for multi user mimo

说明：  基于L*a*b空间的色彩分割。根据样本区域的颜色对图像进行分割。(based on the l*a*b space to cut the picture)

Exercise on kalman filter with model AR, ARMA, ecc.

signal detection and estimation book barkat

OptWoPC: optimization code without power control

小世界优化算法MATLAB源程序，因为保存的问题需要修改一下开头和结尾(Small-world optimization algorithm MATLAB source code, because the preservation of the problem need to change it at the beginning and end of)

说明：  在MATLAB环境下实现量化后的PCM编码(In the MATLAB environment to achieve quantized PCM coding)

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)