According to the great importance of safety in aerospace industries, identification of dynamic parameters of related equipment by experimental tests in operating conditions has been in focus. Due to the existence of noise sources in these conditions the probability of fault occurrence may increases. This study investigates the effects of noise in the process of modal parameters identification b...

The probability density function of Kerr effect phase noise, often called the Gordon-Mollenauer effect, is derived analytically. The Kerr effect phase noise can be accurately modeled as the summation of a Gaussian random variable and a noncentral chi-square random variable with two degrees of freedom. Using the received intensity to correct for the phase noise, the residual Kerr effect phase no...

Evaluation of this noise attenuation technique on real data conclusively shows significant improvement in data coherency and a decrease in high frequency random noise with no noticeable migration effects or artifacts. The method seems especially useful in situations where migration produces artifacts, high frequency random noise is present or where techniques such as spectral balancing have lef...

The paper deals with a class of image filters in which the evolutionary approach consistently produces excellent and innovative results. Furthermore, a method is proposed that leads to the automatic design of easily testable circuits. In particular we evolved “salt and pepper” noise filters, random shot noise filters, Gaussian noise filters, uniform random noise filters, and edge detectors.

This paper examines an electronic oscillator forced by a pseudo-random noise signal. We give evidence of the existence of one or more random at-tractors for the system depending on noise amplitude and system parameters. These random attractors may appear to be random xed points or random chaotic attractors. In the latter case, we observe a form of intermittent synchronization of the response of...

We study the evolution of entanglement and nonlocality of a non-interacting qubit-qutrit system under the effect of random telegraph noise (RTN) in independent and common environments in Markovian and non-Markovian regimes. We investigate the dynamics of qubit-qutrit system for different initial states. These systems could be existed in far astronomical objects. A monotone decay of the nonlocalit...

The intensity statistics of random signals in the presence of Gaussian noise is obtained by considering the model of a random signal plus a random phasor sum. The additive Gaussian noise is shown to result in a Bessel transform of the probability density of signal intensity. The transformation of the intensity statistics can generally be applied to mixtures of independent random signals, one of...

Several recent works have shown that state-of-the-art classifiers are vulnerable to worst-case (i.e., adversarial) perturbations of the datapoints. On the other hand, it has been empirically observed that these same classifiers are relatively robust to random noise. In this paper, we propose to study a semi-random noise regime that generalizes both the random and worst-case noise regimes. We pr...

The removal of random noises in electrocardiogram (ECG) using adaptive noise canceller (called single-input adaptive noise canceller) without reference input is presented in this paper. Common approaches for noise cancellation require reference input that must be well-correlated with the noise part of the primary input. However, the reference input may be limited in availability and hence, resu...