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AM_SSB_Modulation Techniques

adaboost智能算法源程序，将若分类器反复训练得到强分类器，用于二分类问题(adaboost intelligent algorithm source code, will be repeated if the classifier has been trained strong classifier for the two classification)

说明：  充分利用估计误差的比例,积分,微分信号考虑一类线性系统的参数化观测器设计问题,在加快观测器收敛速度的同时避免较大的超调.从理论上分析此类观测器设计的可行性,并从实际应用角度给出一种简单可行的参数设计方法.仿真实验表明:该观测器不但易于实现而且能够获得较好的估计效果,从而有利于在实际工程中的应用.(In this paper, the proportional, integral and differential signals of the estimation errors are fully utilized to consider the design of the parameterized observer for a class of linear systems. The convergence speed of the observer is accelerated and the overshoot is avoided. The feasibility of the design of the observer is analyzed theoretically, A simple and feasible parameter design method is given from the point of view of practical application. Simulation results show that the observer is not only easy to implement, but also can obtain good estimation effect, which is conducive to the application in practical engineering)

钟型隶属函数-e参数变化钟型隶属函数-e参数变化(Bell-shaped membership function-e parameter bell-shaped membership function-e parameters)

this is new approach for fuel cell control.it is really helpfull.

matlab程序 模拟波场传播切片的动态模拟过程(Simulation of wave field propagation dynamics simulation slice)

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Hiper LAN Matlab/Simulink simulation module

《visual c++matlab图像处理与识别实用案例精选》源码(" Visual c++ matlab image processing and recognition of practical cases selected" source)

nmls to solve stochastic problems