风场仿真

蔡氏电路MATLAB仿真程序，分析，绘图，手动设置参数(Chua' s circuit simulation program MATLAB, analysis, mapping, set the parameters manually)

Matlab产生ECG波形的程序，值得一看。(Use Matlab to generate ECG wave )

matlab NURBS 工具箱，应用于matlab中NURBS曲线、曲面的设计.(NURBS toolbox used in MATLAB, used to the design of NURBS curves and surfaces.)

关于matlab的一些知识，喜欢请下载！(Some knowledge about matlab, like download!)

Simulation of Chaotic Henon Map

说明：  利用GPML-V4.1工具箱实现高斯过程回归(GPR)的多变量数据预测(Using gpml-v4.1 toolbox to realize multivariate data prediction of Gaussian process regression (GPR))

matlab 用于实现图像目标检测的源码，可以实现目标的跟踪(Matlab for realizes image target detection, can achieve the goal of source code tracking )

matlab下快速傅里叶变换的分析及代码。(The matlab fast Fourier transform analysis and code.)

matlab 入门教程 适合刚入门的学生学习(matlab Tutorial)

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.