用LBM的方法模拟方腔流动 cavity

独立成分分析（Independent Component Analysis, ICA）是近年来发展起来的一种有效的盲分离技术，最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题，其过程可以归纳为，在源信号与传输通道参数均未知的情况下，仅根据源信号的统计特性，出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据，即目标函数，并设计相应的优化算法，寻求最优的分离矩阵，使得输出信号中各分量尽可能相互独立。采用ICA方法对信号进行盲分离时，可避免过多地受大能量噪声成分的影响，将部分小能量信号源识别出来。随着ICA技术的不断发展，目前ICA技术已经广泛应用于语音增强、音频识别、通信、医学信号处理、金融数据挖掘、图像消噪、数字水印、遥感等领域，并取得了一定的研究成果。(Independent Component Analysis (ICA) Component ini order, developed in recent years is a kind of effective separation technology, originally from French scholars Herault and Jutten in 1986. The proposed method is initially ICA to solve the "cocktail" problem, the process can be divided into, in the source signal transmission channels and in the case of unknown parameters according to the source of the signals, and the statistical characteristics of recovering the source signal. According to the analysis of the ICA key lies in the establishment of optimal criteria described the output signal of the independent, objective function optimization criterion, and the corresponding optimization algorithm, the optimum )

有关LDPC的一些资料和英文文献以及一些相关的资料(LDPC)

this code extract instantaneous frequency of signal

This folder contains Matlab code for running symmetry detection algorithm

matlab与数据库的链接问题,sql access(matlab problem with the database link )

基于matlab程序对医疗保险费用进行测算，对于医疗保险费用的测算很有帮助(Based on the matlab program to calculate the cost of medical insurance, medical insurance costs for the estimated useful)

用matlabe产生随机序列,用matlabe产生随机序列(matlab prbs,matlab prbs,matlab prbs)

Joint Estimation of Channel and Oscillator Phase Noise in MIMO Systems Hani Mehrpouyan, Member, IEEE, Ali A. Nasir, Student Member, IEEE, Steven D. Blostein, Senior Member, IEEE, Thomas Eriksson, George K. Karagiannidis, Senior Member, IEEE, and Tommy Svensson, Senior Member, IEEE IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 60, NO. 9, SEPTEMBER 2012 1

说明：  这是关于GPS卫星定位的matlab程序，有详细英文说明，点击int.m然后点击运行即可(This is the GPS satellite positioning on the matlab program, with detailed instructions in English, you can click on int.m then click on Run)

利用GNSS 进行高精度导航定位的前提是正确固定载波相位观测值的整周模糊度。由Galileo 系统的4 个载波观测值可以 形成诸多有良好特性的组合观测值,利用这些组合观测值,结合MCAR 方法,可以有效地确定整周模糊度。(The use of high-precision GNSS navigation and positioning the premise is correct carrier phase observations fixed integer ambiguity. May consist of four carriers observations Galileo system There are many good characteristics to form a combination of observations using a combination of these observations, combined with MCAR method can effectively determine the integer ambiguity.)