The spatial aliasing problem
alias
spk_alias
The spatial Nyquist theorem:
Sampling condition:
Reconstruction condition:
 antialiasing sampling filter
13/02/2008
Omnidirectional            Rigid pistons
Use a loudspeaker array to reproduced a desired wave field can be seen as a space sampling of the field itself. Just as the time sampling, the space sampling is governed by the Nyquist theorem, which in this case is only a litle more difficult.
Imagine a plane wave inpinging on a discrete speakes array: the speaker spacing is fundamental for a correct sampling; Nyquist says in this case tht the projection of the wavelength on the array must at least be twice the speaker spacing. So this is the formula coming out. Above a certain frequency, the wave must be limited within a certain incidence angle.
Just like in the time domain case, besides a sampling contitions, a reconstruction condition must be respected. It imposes a specific directivity on secondary sources. In pratice if for a given frequency I see a maximum incidence angle, that frequency must not be delivered by secondary sources at angle wider than the limit one.
Take for example the limit case of a plane waves frontally impacting the array: phi is zero so the sampling condition is always verified. But i still need a reconstruction filter, because the secondary fronts are circular, and only in a suffuciently far field their envelope will be flat, whilst in the near field i will experience the spatial aliasing. It’s intuitive to understand that rigid pistons instead of point sources con solve the problem, since the front is flat from the beginning. But we know that a rigid pistons is nothing else than a directional sources, with beamwidth that decreases with frequency. It is not exacly the directivity requested by the formula, because we have lobes for example, but qualitativly it is according with it.