bingwang

说明：  LMI 在MATLAB的應用 幫助初學者進入LMI的世界(LMI in the application of MATLAB)

There are two inputs to the fuzzy controller: the water temperature and the flow rate. The controller uses these inputs to set the position of the hot and cold valves

小波分析在信号处理中的应用，针对不同小波的去噪效果，以及阈值设定等，采用MATLAB进行了数值仿真。(Wavelet analysis in the application of wavelet analysis in signal processing, according to different wavelet denoising effect, and the threshold setting, a numerical simulation is performed using MATLAB.)

该程序由matlab编写功能为，应用模板的人眼定位(this program codec by matlab which have the function of eye location based on the application of model)

Video Processing. Extract movie frame

进行MATLAB的详细讲述以及各种程序的展示，对于初学者是很好的帮助(MATLAB described in detail and demonstrate the various programs, is very helpful for beginners)

该程序是生成一个符合泊松均匀分布的WSNs的Matlab程序，可以修改参数，得到不同的网络拓扑！！(The program is to generate a Poisson evenly distributed WSNs Matlab program can modify the parameters of different network topologies! !)

车辆四分之一模型的matlab/simulink仿真，包含主动悬架的simulink控制器搭建(Matlab / Simulink simulation of vehicle quarter model, Simulink controller construction including active suspension)

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

Demo for the Fractional-Order Chaotic Systems (FOChS) - functions