This paper proposes a mathematical model and formalism to study coded exposure (flutter shutter) cameras. The model includes the Poisson photon (shot) noise as well as any additive (readout) noise of finite variance. This is an improvement compared to our previous work that only considered the Poisson noise. In addition, closed formulae for the Mean Square Error and Signal to Noise Ratio of the...

The authors present algorithms to compute the confidence interval for a Poisson parameter (lambda) and the p value for testing the hypothesis that lambda is equal to a constant, which can be used to make inferences about the standardized mortality ratio and the standardized incidence ratio. The p value and confidence interval always agree, despite the discrete nature of the Poisson distribution...

In this paper we apply Biot's classical theory of consolidation to the brain in simplified geometry, in order to find explicit formulas for its response to internally applied loads. We show that the observed brain compliance can be understood in terms of Biot's concept of jacketed compressibility, with the result that the Poisson ratio is considerably less than the value 112 used in early numer...

In recent years infinite-dimensional stochastic analysis methods have been introduced in the field of estimation for Gaussian channels. The aim of this note is to study the application of similar methods to Poisson channels. In particular we show that the conditional mean estimator of a Poisson channel can be expressed as a discrete logarithmic Malliavin gradient of the likelihood-ratio of the ...