Fault detection is a key tool to ensure the safety and reliability of machinery. In machinery
fault detection, signal processing methods are extensively applied to extract fault …

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 …

We present an improved and enlarged version of our book Nonlinear-namics of Chaotic and
Stochastic Systems published by Springer in 2002. Basically, the new edition of the book …

Intended for graduate students and researchers in physics, chemistry, biology, and applied
mathematics, this book provides an up-to-date introduction to current research in fluctuations …

Natural systems are undeniably subject to random fluctuations, arising from either
environmental variability or thermal effects. The consideration of those fluctuations supposes …

We are taught by conventional wisdom that the transmission and detection of signals is
hindered by noise. However, during the last two decades, the paradigm of stochastic …

Randomness is ubiquitous in nature. Random drivers are generally considered a source of
disorder in environmental systems. However, the interaction between noise and nonlinear …

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 …

Despite a slow start after being introduced in the 1980's, the idea of Stochastic Resonance
spurred since remarkable cross disciplinary interest in natural and social sciences. Ten …

We demonstrate the effect of coherence resonance in a heterogeneous array of coupled Fitz
Hugh–Nagumo neurons. It is shown that coupling of such elements leads to a significantly …