The Effect of Noise on the Optimal Code Transmittance for Compressive Sensing
Technical Report,01 Jul 2018,31 Aug 2018
US Army Research Laboratory Aberdeen Proving Ground United States
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Many compressive sensing architectures perform well in simulation with low transmittance codes. These low levels are deceptive, however, since they result in low signal levels that are more susceptible to noise. Accounting for imaging noise, however, cannot be accurately modeled by simple Gaussian noise. A more complex noise model includes both read and shot noise. Read noise is caused by the system hardware and is independent of signal level. Shot noise is based in the light itself and is related to signal level. This note explores the effect of these noise sources on optimal code transmittance.