  Measured acoustic data can be contaminated by noise. This typically happens
when microphones are mounted in a wind tunnel wall or on the fuselage of an
aircraft, where hydrodynamic pressure fluctuations of the Turbulent Boundary
Layer (TBL) can mask the acoustic pressures of interest. For measurements done
with an array of microphones, methods exist for denoising the acoustic data.
Use is made of the fact that the noise is usually concentrated in the diagonal
of the Cross-Spectral Matrix, because of the short spatial coherence of TBL
noise. This paper reviews several existing denoising methods and considers the
use of Conventional Beamforming, Source Power Integration and CLEAN-SC for this
purpose. A comparison between the methods is made using synthesized array data.
