nengliangfangzhenyingwen

通信信号中编解码技术的研究，通过生成OFDM信号，经过快速傅里叶变换与反变换，最后用16QAM解调，计算信噪比。(Communication signal encoding and decoding techniques, but by generating OFDM signals, through the fast Fourier transform and inverse transform, and finally with 16QAM demodulation, signal to noise ratio calculation.)

将电力市场数据使用小波分解成为两个长度相等的低频和高频小波，然后可以用于灰色模型的建模和波形模型建模！(The electricity market data using wavelet decomposition into two equal length low and high frequency wavelet gray model can then be used for modeling and waveform modeling!)

matlab program for advanced sine wave curve

这是一个关于流形学习的压缩文件，大家可以根据需要下载(this is about isomap.m)

说明：  图像的伪彩色增强，把灰度图像转换为彩色图像(pseudo-color enhancement of image)

原版matlab bpsk信号的调制解调，可显示发送数据的波形，调制后的波形，接收波形，误码情况等(Original matlab bpsk signal modulation and demodulation, send data to display the waveform, the modulated waveform received waveform, error conditions, etc.)

garch工具箱 估计garch模型和garch参数。(garch toolbox very powerful useful toolbox recommended! ! !)

Estimation for Functional Generalized Linear Models

实现simulink三轴运动平台的运动仿真(Motion simulation of Simulink three-axis motion platform)

(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)