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matlab training for all

matlab关于蚁群聚类的源代码，较好的实现了聚类效果(matlab source code for ant colony clustering, clustering achieve better results)

MUSIC和ESPRIT算法是最经典的算法，本文里面包含了MUSIC和ESPIT的基本程序。(MUSIC and ESPRIT algorithm is the most classical algorithm, in this paper, which includes the basic procedure of MUSIC and ESPIT.)

matlab运筹学相关学习课件，线性规划等其他内容(matlab operations research related to learning courseware, linear programming and other content)

温度场的数值模拟程序，主要是应用matlab编程实现(temperature field of numerical simulation program, is the application of Matlab programming)

自编的BP神经网络Matlab程序，可完美运行。还附有0到9训练样本集，供大家参考学习(Self BP neural network Matlab program can be run perfectly. Accompanied by 0-9 training sample set for your learning)

二维矩形波导电磁波传播，Matlab程序，实习时编写！(Two-dimensional rectangular waveguide electromagnetic wave propagation, Matlab procedures, internship writing!)

this is the code about display and plot average

说明：  利用matlab语言编写的水下简正波分析程序，可计算P(Matlab language use underwater normal wave analysis procedures, calculate P)

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)