Thesis_Karteek_Gummi

关于信号处理的SUPTITLE等6个函数，matlab里面一般都没有，专业人士用(SUPTITLE function on signal processing, matlab which in general are not, professionals with)

matlab 在led二次光学设计中的数值计算例程，不是原创，不过很有参考价值！(matlab numerical calculation routines, led the second optical design is not original, but a good reference value.)

正弦信号 重复控制器 简单的matlab重现(Repeat simple sinusoidal signal controller matlab reproduce)

Matlab OFDM MIMO antennas Rayleigh channel

Do an 2 matlab nhậ n dạ ng hình dạ ng sả n phẩ m

matlab实用程序百例，适合初学者学习(matlab utility, one hundred cases, suitable for beginners to learn)

指北方位系统在捷联惯性导航系统中的matlab模拟算法(Matlab simulation algorithm north-bit system in strapdown inertial navigation system)

这是一个利用MATLAB遗传算法工具箱进行求函数最值的实际程序文档，对数学建摸及从事算法研究的人员具有很好的参考价值(This is a genetic algorithms using MATLAB toolbox function for the most value for the actual process documentation, mathematical modeling and algorithm engaged in the research staff has a good reference value)

(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：  使用FFT分析方波信号的频谱，讨论采样点数、采样频率对谱分辨率的影响。对数据叠加白噪声后再次分析实验结果。(Square-wave signal using the FFT spectrum analysis to discuss the sampling points, the sampling frequency of the impact of spectral resolution. White noise superimposed on the data after analysis of experimental results.)