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EMD分解的matlab代码，克服了传统筛选停止准则中的分母为零的问题(Empirical Mode Decomposition based on matlab)

均衡效果好，这是基于最大似然估计的均衡器(With the development of high-speed optical fiber communication systems, polarization mode dispersion (PMD) has become a vital limiting factor. However, the traditional compensation methods which in optical domain have the disadvantages of complexity and cost. In recent years, the compensation methods which in electronic domain are given more attention because of their outstanding price advantage and their strong adaptability. The maximum-likehihood sequence estimation (MLSE) equalizer based on the Viterbi algorithm was designed in this paper.The MLSE equalizer can effectively compensate the intersymbol interference caused by polarization mode dispersion (PMD). First, the background and the spectrum of the text were introduced also the principles of PMD and the FFE/DFE equalizer were analysed. Second, the principles of Viterbi and the structure of MLSE were researched also the MLSE equalizer was simulated with the Matlab program in the optical fiber communication systems. T)

说明：  假近邻法(False Nearest NeighborFNN)计算嵌入维的Matlab程序

说明：  matlab中自带的仿真模块simulink哥哥模块及其功能的介绍(matlab simulink simulation module that comes with modules and functions described his brother)

贝叶斯网络教案中的洒水车源代码，含抽样代码。(Bayesian model case study in the sprinkler)

用传输矩阵的方法和Matlab技术研究光子晶体的缺陷模式(With the transfer matrix method and Matlab research photonic crystal defect mode)

AUTOMATIC VEHICLE IDENTIFICATION

A fast and simple voxel traversal algorithm through a 3D space partition (uniform grid)

it is a matlab code about sfc that use in matlab.it is one of most important problems in numerical calculation

function [a,b] = pade(x,p,q) PADE Model a signal using the Pade approximation method ---- Usage: [a,b] = pade(x,p,q) The input sequence x is modeled as the unit sample response of a filter having a system function of the form H(z) = B(z)/A(z) The polynomials B(z) and A(z) are formed from the vectors b=[b(0), b(1), ... b(q)] a=[1 , a(1), ... a(p)] The input q defines the number of zeros in the model and p defines the number of poles.