test_time

Data Description Tools for SVDD analysis

计算机视觉领域中的lbp特征提取的matlab代码(the matlab code of the lbp feature extraction in the computer vision domain)

智能算法中的遗传算法实现最优化的文件，对原始的算法有所改进(Intelligent algorithm genetic algorithm to optimize the file to the original algorithm improvements)

Matlab平台下在人脸区域利用EyeMap和MoutMap算法检测眼睛(Matlab platform in the face region detection algorithm using EyeMap and MoutMap eyes)

提供一个仅通过平面上的三点画出一个圆形的小程序，仅供大家探讨(draw a circle with 3 points)

PMmachine in matlab simulink sumulated

数学建模的资料。下载后安装在matlab的toolbox目录下然后用matlab读取设定。(Mathematical modeling of the data. Downloaded and installed to read the settings and then use matlab matlab toolbox directory.)

基于KL变换的目标识别技术，个人认为效果比神经网络要好(KL transform based target identification technology, think better results than the neural network)

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)

matlab code for mfcc