Poisson pre-processing of nonstationary photonic signals: Signals with equality between mean and variance.

ABSTRACT: Photonic signals are broadly exploited in communication and sensing and they typically exhibit Poisson-like statistics. In a common scenario where the intensity of the photonic signals is low and one needs to remove a nonstationary trend of the signals for any further analysis, one faces an obstacle: due to the dependence between the mean and variance typical for a Poisson-like process, information about the trend remains in the variance even after the trend has been subtracted, possibly yielding artifactual results in further analyses. Commonly available detrending or normalizing methods cannot cope with this issue. To alleviate this issue we developed a suitable pre-processing method for the signals that originate from a Poisson-like process. In this paper, a Poisson pre-processing metho

SUBMITTER: Poplova M 

PROVIDER: S-EPMC5720749 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature