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livre en arabe explique application du matlab

利用最小二乘算法实现对三维平面的拟合，计算多重分形非趋势波动分析matlab程序,最小均方误差等算法的MSE的计算。( Least-squares algorithm to fit a three-dimensional plane, Calculation multifractal detrended fluctuation analysis matlab program, Minimum mean square error MSE calculation algorithm.)

航空飞行器6自由度动力学模型，用于飞行力学和飞机控制仿真(Aviation aircraft 6 DOF dynamics model for flight mechanics and aircraft control simulation)

《精通MATLAB与C/C++混合程序设计》刘维第二版( Proficient in MATLAB and C/C++ mixed programming design second edition of Liu Wei)

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：  有感知器神经网络实现1与0的识别，输出误差曲线(it is a good program!if you needed,be quick to load it down)

对于给定的雷达信号参数,对线性调频信号时域与频域的波形仿真(Radar signal for a given parameter, the linear frequency modulated signal time-domain and frequency domain waveform simulation)

适合MATLAB初学者，有关符号说明部分，可以更快掌握一门语言(MATLAB for beginners, the relevant symbol Description section, you can quickly master a language)

按正弦方式变化的攻角控制规律，利用MATLAB对HTV-2跳跃滑翔式飞行器弹道过程进行了仿真(Tracking the development plans of The DARPA/AF Falcon program，the program calculates the reentry skipping trajectory)

Implemented with SDRAM run nios, while saving camera data SRAM, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Target can be extracted in a picture you want.