thirtypulseconverterieeefinal

菲尔德网络知识，对神经网络只是大大的补充，该算法应用很广。(Rumsfeld network knowledge, the neural network is greatly supplement, the algorithm is widely used.)

简单的模糊自适应鲁棒滑模控制程序，结合了模糊控制，鲁棒控制和滑模控制的优点(Simple fuzzy adaptive robust sliding mode control program, combined with fuzzy control, robust control and the advantages of sliding mode control)

this code helps to find roota of equation by gauss seidel method

moduation and demodulation process using GUI

最大似然（ML）准则和最大后验概率（MAP）准则，使用起来非常方便，在matlab环境中自动识别连通区域的大小。( Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Very convenient to use, Automatic identification in the matlab environment the size of the connected area.)

说明：  数值分析中没经预处理的高斯方法、经SSOR预处理的高斯方法、经多项式预处理的高斯方法matlab程序(Numerical analysis did not pretreated Gauss method, the SSOR pre-Gaussian method, the pre-Gaussian polynomial method matlab program)

一维线阵的方向图，可以很方便在程序中更改参数(One-dimensional linear array pattern,you can easily change the parameters in the program)

说明：  kmeans程序，用以各种方面聚类分析，诸如入侵检测和图像等。(kmeans method，used in many fields， such as intrusion detection, imag segmentation and etc. )

常见的角度传感器的资料及选型，在选择角度传感器时可借鉴！(Common point of view sensor data and selection, the choice of angle sensor could draw!)

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)