从MATLAB转换为python时，矩阵乘法会呈现不同的结果

Question

I have an MxN matrix A where A is complex and apparently has some properties which renders a diagonal matrix for A'*A . A is also very large (256x16384) so I cannot think of a way to upload it here for reproducing.

In the MATLAB code, I have:

imshow(abs(A'*A),[]);

this produces the following image:

The converted code in python:

tmp=np.dot(A.T,A)
plt.imshow(np.absolute(tmp))
plt.show()

produces:

The diagonal seemed to rotate. Is there any reason for this rotation? Am I doing the conversion correctly?

Answer 1

I guess that you're confusing between the transpose and the conjugate transpose operator.

Matlab to Python:

transpose :

• Matlab: A.'
• Python: AT

conjugate tranpose :

• Matlab: A'
• Python: A.conj().T

So change your matlab code or your python code according to your need.