splitter

image compression with threshoulding

相干光通信的matlab离线处理代码，非常有用的资料。。。。(Coherent optical communications offline processing matlab code, very useful information. . . .)

通过Fourier与Laplace逆变换，把时域图变成频域图，增强信号的可视性。(Through the inverse transformation of Fourier and Laplace, the time domain diagram is transformed into frequency domain graph to enhance the visibility of the signal.)

matlab实现粒子群算法，matlab实现粒子群算法。matlab实现粒子群算法。(PSO algorithm matlab implementation)

matlab编程，包含了matlab编程使用方法与编程技巧，详细地介绍了matlab语言的使用和平时编程注意的要点。(matlab programming, matlab programming includes the use of methods and programming skills, detailed description of the matlab programming language to use and usually watch out for.)

matlab programs from constantine balanis antenna theory

IBMde股票图形示例，，含数据有布林线，平均移动线 (IBMde stock graphic example, with data Bollinger Bands, Moving Average Line)

说明：  简单利用最小二乘法对缠绕的干涉相位进行解缠，但最小二乘法有个固有缺陷，其是基于全局相位解缠方法，容易造成整体误差扩散。 (Simple least squares method of winding the use of the interferometric synthetic aperture radar (InSAR) to interfere in phase unwrapping)

WAVELET CODING FOR IMAGE

说明：  它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。 偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身。它与主成分分析法都试图提取出反映数据变异的最大信息，但主成分分析法只考虑一个自变量矩阵，而偏最小二乘法还有一个“响应”矩阵，因此具有预测功能。(It is mainly a result of the study is a multi-variable regression modeling and more independent variables, especially when the internal height of each variable linear correlation, partial least squares regression method is more effective. In addition, partial least squares regression solves the number of samples is less than the number of variables and other issues. Partial least squares method is a set of principal component analysis, canonical correlation analysis and multiple linear regression analysis of the advantages of the three methods in one. It is the principal component analysis are trying to extract the maximum information reflects data variability, but the principal component analysis considers only one independent variable matrix, and partial least squares and a &quot response&quot matrix, predictive capabilities.)