OFDM-MIMO

基于MATLAB的锅炉液位控制系统，采用模糊控制(MATLAB-based boiler level control system using fuzzy control)

matlab codes referring to the video segmentation

说明：  bp神经网络用于分类的matlab程序，修改数值就可适用(bp neural network for classification matlab procedures can modify the application of numerical)

利用Matlab的simulink实现对船舶的仿真(Simulink realization using Matlab for the simulation of ship)

ICA文件是Citrix应用服务器独立计算机结构的协议文件,包含连接不同服务器的配置信息,可以连接到发布有应用程序桌面环境的服务器上(ICA OF BBS)

Matlab filter conversion

说明：  主要用于数学建模的算法，比如路径规划中的最短路径，数据的拟合分析以及随机数的产生等。(It is mainly used in mathematical modeling algorithms, such as the shortest path in path planning, data fitting analysis and random number generation.)

基于802.11ofdm仿真，主要针对信道同步，包括各种同步方法(802.11ofdm based on simulation, the main channel for synchronization, including synchronization method)

说明：  使用双正交小波变化，来检测图像的边缘特性。MATLAB下可以完整运行！(Using biorthogonal wavelet transform to detect image edge features. MATLAB may be a complete run!)

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].