We present results that are a classical analog to quantum noise cancellation. It is possible to breach the standard quantum limit in an interferometer by the use of squeezing to correlate orthogonal quadratures of quantum noise, causing their effects on the resulting sensitivity to cancel. A laser beam incident on a Fabry-Perot cavity was imprinted with classical, correlated noise in the same q...

Measurements are often contaminated with large amounts of non-stationary noise which require effective reduction techniques. We present a new deep learning algorithm learns continuously in real-time while filtering the data. The requires reference signal alongside noisy itself. As poof concept we demonstrate its performance by reducing electroencephalogram (EEG) help custom 3D printed compound ...

When building an adaptive noise cancellation system for wideband acoustic signals, one can meet some difficulties in practical implementation of such a system. The major problem is related to the necessity using real-time signal generation and processing. In this paper active control which utilizes adaptation frequency domain considered. It shown that proposed algorithms simplify results comput...

In narrowband active noise control systems, the dimension of the quiet zone around each error sensor is proportional to the wavelength of the noise being cancelled. In broadband active noise control systems, several error sensors per anti-noise source are used (two as a rule of thumb) in order to achieve larger cancellation regions, but the fact still remains that the size of the quiet zone wil...

The adaptive noise cancellation has proved being very efficient method in various practical applications such as voice clearance, recognition systems for voice, hands-free telephony, and medical applications such as hearing aids and fetal electrocardiography [1], etc. Figure 1 [1], depicts the basic principle of noise cancellation (understanding that noise is an unwant‐ ed signal, d(n)), which ...

A new intelligent noise filtering approach using Computational Intelligence (CI) is proposed for the problem of adaptive noise cancellation (ANC). Since the traditional linear filtering may not be good enough to handle with the noise complexity and time-varying statistic property, a self-constructing neuro-fuzzy system (SCNFS) is used as an adaptive filter to deal with the nonlinearity of noise...