testcfar

用复小波对简单的奇异信号进行幅度和相位的分析(Using complex wavelet singularity of a simple signal amplitude and phase analysis)

it is about npc inverter

FIND_COMPONENTS_EXAMPLE gives an example usage of find_components

基于背景差法的动态目标检测的代码 希望对大家有用(Difference method based on the background of the dynamic target detection code for all of us hope that useful)

matlab版贪吃蛇游戏 经典中的经典，强烈推荐(matlab snake game)

Mann-kendall趋势分析的Matlab程序(Mann-kendall Matlab)

MATLAB环境下基于OFDM系统的前导序列中短训练序列的误差估计仿真程序(the offset of the short training sequence of preamble)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

说明：  一部有关神经网络的matlab的ppt,对初学者挺有帮助的。(One of the neural network matlab ppt, help for beginners winter ridge.)

潮流计算的好程序，c++，潮流计算的好程序，c++(Good program flow calculation, c++)