ADSP-HW2

function histogram (simple) programmed

Matlab进行再入式飞行器轨道建模与仿真，建立各种模型，最后获得飞行器的动力学模型，并调用龙格库塔函数求解该微分方程初值问题。(Matlab for reentry spacecraft orbit modeling and simulation, the establishment of various models, and finally obtain the dynamic model of the aircraft, and call the Runge-Kutta function of the initial value problem solving differential equations.)

近场源多参数估计2D-MUSIC算法（角度和距离估计）仿真分析(Simulation and analysis of 2d-music algorithm for multi parameter estimation of near field sources)

数字信号处理（Sanjit）（第四版）随处CD，matlab代码(Digital Signal Processing(Forth Edition)(Sanjit),matlab)

波束赋形，应用于各类通信仿真，以及各种天线环境下的通信(Beamforming, used in all types of communication simulation, and a variety of antenna communication environment)

(有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的微分方程一般可以化为状态空间(STATE SPACE)的低阶微分方程来求解.从微分方程的性态看来,主要是微分方程式一阶导系数大的时候,步长应该选得响应的小些.或者如果问题的性态不是太好估计的话,用较小的步长是比较好的,此外的话Adams多步法在小步长的时候效率比R-K(RUNGE-KUTTA)方法要好些,而精度也高些,但是稳定区间要小些.从初值和边值来看,也是显著的不同的.此外对于非线性常微分方程还有打靶法,胞映射方法等.而对于微分方程稳定性的研究,则诸如相平面图等也是不可缺少的工具.值得提出的是,除了用ode系类函数外,用simulink等等模块图来求解微分方程也是一种非常不错的方法,甚至是更有优势的方法(在应用的角度来说).((Source code) numerical analysis homework, this docment includes two parts, the first is ordinary differential equations (ODE) of the three examples, the second part is about the expansion of the discussion, including the higher-order ordinary differential & boundary value solution Problems (BVP). the text of the algorithm and numerical examples are based on the Matlab. ODE from the rigid (STIFFNESS) look into the issue of non-rigid and rigid problem, rigid problems (such as large coefficient VDP equation) such as using the always method ODE45 used to solve the problems , efficiency will be low, with ODE15S the other hand, many of the high efficiency. and the usual problem of non-rigid, there will be used to solve ODE45 very good results. Judging from the order can be for high-order differential equations and first-order ordinary differential equations, higher-order differential equations can be transformed into a general state space (STATE SPACE) used to solve the low-order different)

说明：  matlab在系统辨识中的应用: 利用六级移位寄存器产生的M序列(Matlab system identification in the application : 6 shift register sequence of the M)

以二体问题为模型，从地球发射航天器探索火星，途中需经过一次无动力金星借力，寻找最优（总速度增量最小）的发射时间窗口和飞行时间，并绘制地球到金星的Pork-Chop发射能量等高线图。发射时间窗口为2023—2033年，总飞行时间不得大于2年。(Taking the two body problem as the model to explore Mars from the earth, it is necessary to seek an unpowered Venus transit force on the way to find the optimal time window and time of flight (the minimum total velocity increment), and draw the contour map of the Pork-Chop emission energy of the earth to Venus. The total launch time window is from 2023 to 2033, and the total flight time is not more than 2 years.)

说明：  matlab-gui 自动控制原理-采样控制系统(Matlab-gui Automatic Control Theory- sampling control system)

本程序实现利用自适应滤波器进行系统辨识,效果良好。(This program implements an adaptive filter system identification, to good effect.)