LevelSet_ChunmingLi_v1

Matlab教程，很好用的全英文教程。对于学习matlab很有帮助。(the electric book for matlab ，it s usefull for the new to learn the matlab to refer to。)

基于Creator 大地景建模的研究与实现以飞行模拟仿真为应用背景,研究基于Creator 软件平台的大地景建模关键技术(research the key technology of large landscape modeling basing on Creato)

Implements the traditional benchmark formulation used in optimization literature

计算两个声音信号的延时.两个信号不必完全相同，但是要非常类似(Two sound signals calculated delay signal having two identical, but very similar to)

广义旁瓣相消器，阻塞矩阵B1，一个期望信号，一个干扰，高斯白噪声(the simulation of GSC（B1）)

An ad-hoc network with a sender, a destination and a third station act- ing as a relay is analysed. The channels are modelled containing thermal noise, Rayleigh fading and path loss. Di® erent combining methods and di- versity protocols are compared. The amplify and forward protocol shows a better performance than the decode and forward protocol, unless an error correcting code is simulated. To combine the incoming signals the chan- nel quality should be estimated as well as possible. Information about the average quality shows nice bene¯ ts, and a rough approximation about the variation of the channel quality increases the performance even more. What- ever combination of diversity protocol and combining method is used second level diversity is observed. The relative distances between the relay and the stations has a large e® ect on the performance.

说明：  BP_Adaboost模型即把BP神经网络作为弱分类器，反复训练BP神经网络预测样本输出，通过Adaboost算法得到多个BP神经网络弱分类器组成的强分类器，利用此方法设计出强分类器。(The BP_Adaboost model uses the BP neural network as a weak classifier, repeatedly trains the BP neural network to predict the sample output, and uses the Adaboost algorithm to obtain a strong classifier composed of multiple BP neural network weak classifiers. This method is used to design a strong classifier.)

这是QuarusII中文的用户指南！希望大家有用(This is a QuarusII Chinese User' s Guide! Hope that useful)

说明：  东北大学薛定宇老师的精品课程讲义－控制系统仿真与CAD，PPT格式(Northeastern University, Xue Dingyu quality teachers Course Training Manual- Control System Simulation and CAD, PPT format)

多模型交互跟踪多模型交互跟踪多模型交互跟踪多模型交互跟踪(Multi-track interaction model)