This work reduces the computational requirements of the additive noise steganalysis presented by Harmsen and Pearlman. The additive noise model assumes that the stegoimage is created by adding a pseudo-noise to a coverimage. This addition predictably alters the joint histogram of the image. In color images it has been shown that this alteration can be detected using a three-dimensional Fast Fou...

Communication in the presence of a priori known interference at the encoder has gained great interest because of its many practical applications. In this paper, additive exponential noise channel with additive exponential interference (AENC-AEI) known non-causally at the transmitter is introduced as a new variant of such communication scenarios‎. First, it is shown that the additive Gaussian ch...

Abstract In this paper, we consider stochastic dynamics of a two-dimensional differential equation with additive noise. When the strength noise is zero, undergoes Bautin bifurcation. We obtain main conclusions including existence and uniqueness solution, synchronization system property random equilibrium, where going through some processes like deducing stationary probability density calculatin...

We study how additive noise influences noise-induced nonequilibrium phase transitions. The review of the most recent results and a discussion about open questions is presented. We show that additive noise strongly influences a noise-induced phase transition. We demonstrate also that additive noise can induce such a transition by itself. It can occur both via the excitation of noise-induced osci...

Traditional constraint-based and score-based methods for learning directed graphical models from continuous data have two significant limitations: (i) they require (in practice) assuming dependencies are linear with Gaussian noise; (ii) they cannot distinguish between Markov equivalent structures. More recent structure learning methods avoid both limitations by directly exploiting characteristi...

In active noise control (ANC) systems, the online secondary path modeling (OSPM) methods that use additive random noise are often applied. The additive random noise, however, contributes to the residual noise, and thus deteriorates the noise control performance of ANC systems. This paper proposes a new OSPMmethod with power scheduling of additive random noise. Here the OSPM filter is adapted us...