如何将复数矩阵从 Matlab R2018a 转移到 Eigen
How can I transfer a complex matrix from Matlab R2018a to Eigen
我目前正在将矩阵的实部和虚部分别从 Matlab 导入到 C++。然后我还将实部和虚部分别映射到 Eigen。我也分别进行了计算和映射最终结果,如下图:
//import real and imaginary parts from matlab
mwSize M = mxGetM (prhs[1]);
mwSize N = mxGetN (prhs[1]);
double * PR = mxGetPr (prhs[1]);
double * PI = mxGetPi (prhs[1]);
//map real and imaginary parts to Eigen
Map<Matrix<double,Dynamic,Dynamic,ColMajor> > Br (PR, M, N );
Map<Matrix<double,Dynamic,Dynamic,ColMajor> > Bi (PI, M, N );
//map real and imaginary parts of result
plhs[0] = mxCreateDoubleMatrix(M, N, mxCOMPLEX);
Map<Matrix<double,Dynamic,Dynamic,ColMajor> > resultr (mxGetPr(plhs[0]), M, N);
Map<Matrix<double,Dynamic,Dynamic,ColMajor> > resulti (mxGetPi(plhs[0]), M, N);
//calculate real and imaginary parts of A*B separately
resultr=A*Br;
resulti=A*Bi;
但是,从 R2018a 开始,Matlab allows importing the real and imaginary parts together。
我该怎么做?我尝试了以下方法:
//import complex matrix from matlab
mwSize N = mxGetN (prhs[1]);
mxComplexDouble * PR = mxGetComplexDoubles (prhs[1]);
//map complex matrix to eigen
Map<Matrix<mxComplexDouble,Dynamic,Dynamic,ColMajor> > B (PR, M, N );
//map complex result
plhs[0] = mxCreateDoubleMatrix(M, N, mxCOMPLEX);
Map<Matrix<mxComplexDouble,Dynamic,Dynamic,ColMajor> > result (mxGetDoubles(plhs[0]), M, N);
//calculate real and imaginary parts together
result=A*B;
但是编译不通过,因为Eigen不喜欢mxComplexDouble类型。
如果我理解正确,mxComplexDouble
与 std::complex<double>
具有相同的布局,因此您应该能够简单地转换:
auto* PR = reinterpret_cast<std::complex<double>*>(mxGetComplexDoubles(prhs[1]));
参考:
In the -R2018a
API, the mxGetElementSize
function returns sizeof(std::complex<T>)
for a complex mxArray
with data type T
. This value is twice the value returned by the function in the -R2017b
API.
来自 MATLAB 文档页面"Upgrade MEX Files to Use Interleaved Complex API"
我目前正在将矩阵的实部和虚部分别从 Matlab 导入到 C++。然后我还将实部和虚部分别映射到 Eigen。我也分别进行了计算和映射最终结果,如下图:
//import real and imaginary parts from matlab
mwSize M = mxGetM (prhs[1]);
mwSize N = mxGetN (prhs[1]);
double * PR = mxGetPr (prhs[1]);
double * PI = mxGetPi (prhs[1]);
//map real and imaginary parts to Eigen
Map<Matrix<double,Dynamic,Dynamic,ColMajor> > Br (PR, M, N );
Map<Matrix<double,Dynamic,Dynamic,ColMajor> > Bi (PI, M, N );
//map real and imaginary parts of result
plhs[0] = mxCreateDoubleMatrix(M, N, mxCOMPLEX);
Map<Matrix<double,Dynamic,Dynamic,ColMajor> > resultr (mxGetPr(plhs[0]), M, N);
Map<Matrix<double,Dynamic,Dynamic,ColMajor> > resulti (mxGetPi(plhs[0]), M, N);
//calculate real and imaginary parts of A*B separately
resultr=A*Br;
resulti=A*Bi;
但是,从 R2018a 开始,Matlab allows importing the real and imaginary parts together。
我该怎么做?我尝试了以下方法:
//import complex matrix from matlab
mwSize N = mxGetN (prhs[1]);
mxComplexDouble * PR = mxGetComplexDoubles (prhs[1]);
//map complex matrix to eigen
Map<Matrix<mxComplexDouble,Dynamic,Dynamic,ColMajor> > B (PR, M, N );
//map complex result
plhs[0] = mxCreateDoubleMatrix(M, N, mxCOMPLEX);
Map<Matrix<mxComplexDouble,Dynamic,Dynamic,ColMajor> > result (mxGetDoubles(plhs[0]), M, N);
//calculate real and imaginary parts together
result=A*B;
但是编译不通过,因为Eigen不喜欢mxComplexDouble类型。
如果我理解正确,mxComplexDouble
与 std::complex<double>
具有相同的布局,因此您应该能够简单地转换:
auto* PR = reinterpret_cast<std::complex<double>*>(mxGetComplexDoubles(prhs[1]));
参考:
In the
-R2018a
API, themxGetElementSize
function returnssizeof(std::complex<T>)
for a complexmxArray
with data typeT
. This value is twice the value returned by the function in the-R2017b
API.
来自 MATLAB 文档页面"Upgrade MEX Files to Use Interleaved Complex API"