Ljung--state-of-the-art_tdfd

说明：  一个一维FDTD方法程序，并完成脉冲波对介质片的反射和透射系数的计算，采用MATLAB仿真(A one-dimensional FDTD methods and procedures, and complete the pulse of the dielectric film of reflection and transmission coefficients of the calculation, using MATLAB simulation)

LEACH Protocol in Omnet++.rar

park变换的各种变换模型，基本囊括工作和学习用到的所有模型，可以直接使用(park transform a variety of transformation models, work and learning to use the basic include all models can be used directly)

该程序提供了一个计算机下国际象棋的功能，拥有完全的代码，由matlab编成的很多人工智能的函数，有详细的文档，直接运行chess.m文件即可(The program provides a computer under the functions of chess, with complete code, matlab compiled from many artificial intelligence function, has a detailed document, a document can be directly run chess.m)

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.

A new Particle Swarm Toolbox (A New Particle Swarm Toolbox )

灰狼优化算法和粒子群算法性能比较，附加灰狼算法介绍的PDF(Performance Comparison between Grey Wolf Optimization Algorithm and Particle Swarm Optimization Algorithm)

how to test rayleigh fading channel

straight line using matlab

三相无源逆变的仿真，采用双闭环控制，PT调节器。(Passive three-phase inverter simulation, using the double closed loop control, PI regulator )