GUI-based-Satellite-Tracking

这是几篇关于多维网格编码调制的开创性论文，有几篇是介绍专利的。(This ebook is about TCM)

书中给出了九个典型的自动化设计例子。展示了如何用The MathWorks和其他仿真工具，比如Simulink和Stateflow建模，以此来使自动化控制系统的设计更加便利。(This book includes nine examples that represent typical design tasks of an automotive engineer. It shows how The MathWorks modeling and simulation tools, Simulink® and Stateflow,TM facilitate the design of automotive control systems. Each example explains the principles of the physical situation, and presents the equations that represent the system. The examples show how to proceed from the physical equations to the Simulink block diagram. Once the Simulink model has been completed, we run the simulation, analyze the results, and draw conclusions from the study.)

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)

基于ESPRIT算法的相干分布式多信号源的DOA估计(Distributed coherent signals DOA estimation based on the ESPRIT algorithm)

模拟windows计算器的MATLAB5.3程序一个简单的例子 <<科学运算语言MATLAB5.3程序设计与应用>>的习题作业(Windows calculator MATLAB5.3 simulation procedure a simple example < < scientific computing language and application programming MATLAB5.3> > operation of the exercise)

cognitive radio hole spectrum detection using fixed threshold and reading from excel file

通过matlab这一仿真软件对数值算法中的数值微分进行了编码计算(Matlab simulation software by the numerical algorithm in the numerical calculation of the differential encoded)

对股票市场的模拟尝试，建立一个离散模型描述情况(Stock market simulation attempts to establish a discrete model description)

matlab编程：遗传算法求解最大值 matlab编程：遗传算法求解最大值(matlab Programming: Genetic Algorithm for Max matlab Programming: Genetic Algorithm for Maximum)

The Rö ssler attractor /ˈ rɒ slə r/ is the attractor for the Rö ssler system, a system of three non-linear ordinary differential equations originally studied by Otto Rö ssler.[1][2] These differential equations define a continuous-time dynamical system that exhibits chaotic dynamics associated with the fractal properties of the attractor.