0
$\begingroup$

Say I have a dense linear array of sensors in space and an acoustic signal propagating through them.

In this case, how would delay-and-sum beamforming compare to space-time filtering by masking the 2D Fourier transform (say the signal is closely confined to a narrowband in both k and omega)? Intuitively, it seems to me like these should be equivalent.

Anyone can help give me some intuition on it?

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.