如何在MatrixXf中使用本征FFT? [英] How to use Eigen FFT with MatrixXf?

问题描述

我是Eigen库的新手.我想计算特征矩阵的FFT.但是，我这样做的尝试表明，不支持的Eigen FFT模块不能与MatrixXf一起使用.我想完成类似的事情:

I am new to the Eigen library. I would like to compute FFT of Eigen Matrices. However, my attempts to do so indicate that the unsupported Eigen FFT module can't be used with MatrixXf. I want to pull off something like:

#include <eigen3/unsupported/Eigen/FFT>
#include<Eigen/Dense>
#include<iostream>
using namespace std;
using namespace Eigen;
int main(){
    MatrixXf A = MatrixXf::Random(3,10);
    FFT<float> fft;
    MatrixXf B;
    fft.fwd(B,A);
}

这可以实现吗?任何其他建议，欢迎.从Matlab迁移到Eigen花费了我大量的自我说服力，我宁愿不要使用其他库，除非它是不可避免的.谢谢.

Is this achievable? Any other suggestions are welcome. It took me a great deal of self persuasion to migrate to Eigen from matlab, and I would prefer not using a different library unless it's inevitable. Thanks.

推荐答案

这是一个合理的期望.不幸的是，以目前的形式，FFT并不完全支持它.

This is a reasonable expectation. Unfortunately in its current form, FFT does not support that exactly.

MatrixXcf B(3,10);  // note the change from real to complex
//fft.fwd(B,A); // It is natural to want to do this, unfortunately it is not yet supported

// it works to iterate over the columns
for (int k=0;k<A.cols();++k)
    B.col(k) = fft.fwd( A.col(k) );

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