Broadband resolution analysis for imaging with measurement noise.
Resolution analysis for imaging in the presence of noise is presented. A simple definition of resolution that takes into account the effect of noise is introduced and is shown to depend also on factors such as the signal-to-noise ratio and the false-alarm rate. The striking effect of aperture-independent superresolution in imaging with broadband signals is demonstrated.
Fannjiang
Albert
A
Department of Mathematics, University of California, Davis 95616-8633, USA. fannjiang@math.ucdavis.edu
Sølna
Knut
K