xianxingtiaopin

Image Fusion using decomposition

This package is very important for WRF (Weather and Research Forecast ) installation ARWpost in ubuntu

根据2FSK调制器与解调器的组成原理，设计出整个2FSK传输系统的实现方案与电路(Based on composition theory 2FSK modulator and demodulator, the entire design implementation and circuit transmission system 2FSK)

双相介质的交错网格有限差分波场模拟与AVO属性分析程序，包含了不同精度的交错网格程序，特征值分析法边界吸收条件，双相介质的弹性参数计算程序，以及AVO属性计算分析程序(Two-phase media of the staggered-grid finite-difference wave field simulation and AVO attribute analysis program, including the different precision staggered grid procedure, characteristic absorption of the boundary value analysis conditions, two-phase media of the elastic parameters calculation procedures, as well as calculation of AVO attribute analysis program)

为了得到具有一般相关量测噪声线性系统的递推滤波算法, 将该问题转化为具有相关量测 单值随机向量的滤波问题,根据单值随机向量的线性无偏最小方差估计算法,导出了量测噪声为一 般相关鞅差序列的线性系统的最优递推状态估计滤波算法.通过数值仿真,将该算法与假定量测噪 声不相关时的Kalman 滤波算法进行了比较,证明了该算法的有效性(In order to obtain the recursive f i ltering alg orithm for a linear system w ith general correlat
ed measurement noises, the problem is t ransformed to that of filtering for a single random vector w ith correlated measurements. According to the linear unbiased minimum variance estimation algorithm for a single random vector, a recursive filtering algori thm is presented. A digital simulat ion technique is used such that the new algorithm can be compared w i th the Kalman f i ltering algorithm, assuming that the measurement noises are uncorrelated. Validi ty of the proposed algorithm is thus proved)

说明：  BA无标度网络的算法，主要是演示无标度网络是怎么样生成新节点的(BA scale-free network algorithm, the main is to demonstrate how the scale-free network to generate a new kind of node)

小波分析理论与matlab实现 需用超星浏览器打开(wavelet analysis using matlab)

说明：  将小波变换应用于信号消噪,去除冗余分量后，提取信号主要特征(the wavelet can be applied to the signal denoise and feature extraction)

该文档给出了通信原理中的数字调制和解调的matlab程序代码，如BPSK,QPSK,QAM等等调制方式。(the document is a communication principle of digital modulation and demodulation of the Matlab code. such as BPSK, QPSK, QAM modulation mode, and so on.)

Orthogonal Least Squares Estimate on a plane, in the simple case of a linear equation, is in fact a problem that can be easily solved analytically with no approximation (see pdf file for detailed explanation). Notice that in the general multidimensional case, an analytical solution may not exist (although Mr. Carr s function is an efficient approximation of the solution).