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?


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.