signal_decomposition_by_bp

说明：  频偏校正估频算法的实现，Matlab函数。(Estimated frequency offset correction algorithm, Matlab function.)

fuzzy k-nearest-neighbor algotithm

"Guess The Number" Gae For Beginers.

说明：  如何用winrats做garch-bekk模型(how to use winrats creat garch-bekk)

关于图像超分辨率重建的系统设计关键算法,以光学系统简化模型引入,适合大视角的超分辨率重建(With regard to image super-resolution reconstruction of the system design key algorithms in order to simplify the model for the introduction of optical systems, suitable for large view of the super-resolution reconstruction of)

OFDM通信系统,QPSK映射，最终统计误比特率并画图(OFDM communication system)

基于matlab的数值分析 基于matlab的数值分析(the analysis based on matlab the analysis based on matlab)

改进后的高斯信号发生函数，可用于字符运算。(Improved Gaussian signal, can be used for computing characters.)

(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)

将PID 控制与模糊控制的简便性、灵活性以及鲁棒性融为一体,构造了一个参数自整定模糊PID 控制器. 通过模糊控制规则在线调整PID 控制器的参数,并利用MATLAB 语言结合具体实例方便而快速地实现了该控制器的计算机仿真. 仿真结果表明:该控制方法提高了控制系统的动、静态特性,使系统获得了较好的性能.(The PID control and fuzzy control of the simplicity, flexibility and robustness of the integration, construction of a parameter self-tuning fuzzy PID controller. Through the fuzzy control rules online adjust the parameters of PID controller, and use specific examples of MATLAB language and quickly realize the convenience of the controller)