Abstract
The Hotelling trace is used as a figure of merit for optimizing the azimuthal aperture in a coded aperture gamma ray imaging system. We present simulations for a particular aperture size that incorporates the combined effects of signal and background variability, additive nonstationary noise, aperture code choice, and detector integration time. It is shown that crossing points occur wherein different codes are, in principle, optimal for short vs long detector count times. The optimization approach may be generalized to more complex coded aperture imaging systems.
© 1990 Optical Society of America
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