Noise pollution

Summary

Noise pollution, or sound pollution, is the propagation of noise or sound with ranging impacts on the activity of human or animal life, most of which are harmful to a degree. The source of outdoor noise worldwide is mainly caused by machines, transport and propagation systems. Poor urban planning may give rise to noise disintegration or pollution, side-by-side industrial and residential buildings can result in noise pollution in the residential areas. Some of the main sources of noise in residential areas include loud music, transportation (traffic, rail, airplanes, etc.), lawn care maintenance, construction, electrical generators, wind turbines, explosions and people. Documented problems associated with noise in urban environments go back as far as ancient Rome. Research suggests that noise pollution in the United States is the highest in low-income and racial minority neighborhoods, and noise pollution associated with household electricity generators is an emerging environmental

Official source

https://en.wikipedia.org/wiki/Noise_pollution

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ICLAB2019

Noise-induced desynchronization and stochastic escape from equilibrium in complex networks

Robin Delabays

Complex physical systems are unavoidably subjected to external environments not accounted for in the set of differential equations that models them. The resulting perturbations are standardly represented by noise terms. If these terms are large enough, they can push the system from an initial stable equilibrium point, over a nearby saddle point, outside of the basin of attraction of the stable point. Except in some specific cases, the distance between these two points is not known analytically. Focusing on Kuramoto-like models and under simple assumptions on this distance, we derive conditions under which such noise terms perturb the dynamics strongly enough that they lead to stochastic escape from the initial basin of attraction. We numerically confirm the validity of that criterion for coupled oscillators on four very different complex networks. We find in particular that, quite counterintuitively, systems with inertia leave their initial basin faster than or at the same time as systems without inertia, except for strong white-noise perturbations.

2019

Adaptive noise cancelling systems for acoustic wearable device

Mohamed Ben Arbia

Acoustic noise is present in many environments. Such noise is undesirable and provides a poor listening experience. Active noise cancellation refers to the fact of reducing undesired noise using a cancelling signal emitted trough a secondary source. Many methods are proposed to perform active noise cancellation on headphones. In this work, we are interested in performing digital active noise cancellation for a wearable device. There are many challenges for such a system. The noise cancellation process has to be performed in real time therefore as fast as possible. Besides, all the operations of such a system has to be digitally processed. Therefore, one of the most important points is to evaluate the performance of the different methods and algorithms needed for performing digital active noise cancellation on real time.

2015