ParallelSquare

eof分解用的函数，说明如下：function [EOF,PC,F,diff]=EOFcgx(X) EOF分解。Xm*n 空间数据维数m，n为时间采样点 返回值EOF为空间模态,PC为时间模态。第一空间模态EOF(:,1),第一时间模态PC(1,:) 返回值F为特征值，diff为误差 (eof decomposition function as follows: function [EOF, PC, F, diff] = EOFcgx (X) EOF decomposition. Xm* n spatial dimension m, n is the time of sampling points Returns the value EOF spatial modes, PC is the time modes. The first space modal EOF (:, 1), the first time the modal PC (1, :) Return value F for eigenvalues, diff for error )

matlab与ccs联合仿真自动代码生成(ccs matlab co-simulation with automatic code generation)

matlab bpsk qpsk 16qam ask 仿真源程序(matlab bpsk qpsk )

说明：  please give the matlab codings

16 QAM误码曲线仿真,运用Matlab语言(16 QAM BER curve simulation ,based on MATLAB)

说明：  本程序是一个采用背景差分的运动目标检测方法(This program is a moving target using the background difference detection method)

中值滤波，直方图均衡化matlab源程序，非matlab自带库函数。matlab图像裁切实现。(Median filtering, histogram equalization matlab source, not just using matlab library function. matlab image cropping. )

多目标优化问题，用matlab来实现，即实现了图像功能，更能够体现人的思想(Multi-objective optimization problem, using matlab to achieve, namely to achieve the image function, better able to reflect people' s thoughts)

进行通信编程时候需要参考使用，还比较方便(Communication program to use when you need a reference, but also more convenient)

The Support Ve ct or Machi ne So fa r we have used a reference as sumpt ion tha t there exists a linear classifier that has a larg e ge ometric margin, i.e., whose decision b oundar y is we ll separa ted from all the training images (e xamples). Such a larg e margin classifier seems like one we would like to use. C an’t we find it more directly? Yes, we can. The clas sifier is known as the Support Ve ctor M achine or SVM for short.