Condition-based monitoring and machine fault detection play important roles in industry as
they can ensure safety and reduce breakdown loss. Weak signal detection is an essential …

Over the last two decades, stochastic resonance has continuously attracted considerable
attention. The term is given to a phenomenon that is manifest in nonlinear systems whereby …

Stochastic resonance is said to be observed when increases in levels of unpredictable
fluctuations—eg, random noise—cause an increase in a metric of the quality of signal …

Stochastic resonance can be used as a measuring tool to quantify the ability of the human
brain to interpret noise contaminated visual patterns. Here we report the results of a …

Stochastic differential equations play an increasingly important role in modeling the
dynamics of a large variety of systems in the natural sciences, and in technological …

Does a literary text remain the same object across time? This essay answers no and bases a
defense of literature on that answer. Temporal extension, a phenomenon neglected in …

This new edition of an indispensable text provides a clear treatment of Fourier Series,
Fourier Transforms, and FFTs. The unique software, included with the book and newly …

This paper shows how adaptive systems can learn to add an optimal amount of noise to
some nonlinear feedback systems. This" stochastic resonance"(SR) effect occurs in a wide …

Objective To determine whether there is an increased cancer incidence and mortality in
populations exposed to radiofrequency radiations from TV towers. Design An ecological …

Noise in dynamical systems is usually considered a nuisance. However, in certain nonlinear
systems, including electronic circuits and biological sensory systems, the presence of noise …