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Grey noise spectrum The result is that grey noise contains all frequencies with equal loudness , as opposed to white noise , which contains all frequencies with equal energy . The difference between the two is the result of psychoacoustics , more specifically the fact that the human hearing is more sensitive to some frequencies than others.
A long list of noise measures have been defined to measure noise in signal processing: in absolute terms, relative to some standard noise level, or relative to the desired signal level. They include: Dynamic range, often defined by inherent noise level; Signal-to-noise ratio (SNR), ratio of noise power to signal power
Noise that has a frequency spectrum of predominantly zero power level over all frequencies except for a few narrow bands or spikes. Note: An example of black noise in a facsimile transmission system is the spectrum that might be obtained when scanning a black area in which there are a few random white spots. Thus, in the time domain, a few ...
In signal processing theory, Gaussian noise, named after Carl Friedrich Gauss, is a kind of signal noise that has a probability density function (pdf) equal to that of the normal distribution (which is also known as the Gaussian distribution). [1] [2] In other words, the values that the noise can take are Gaussian-distributed.
They remain an important part of the history and evolution of computer networking, showcasing an early effort to establish standards and protocols for efficient and reliable communication between computers. One famous quirk of Coloured Book was that components of hostnames used reverse domain name notation as
Different types of noise are generated by different devices and different processes. Thermal noise is unavoidable at non-zero temperature (see fluctuation-dissipation theorem), while other types depend mostly on device type (such as shot noise, [1] [3] which needs a steep potential barrier) or manufacturing quality and semiconductor defects, such as conductance fluctuations, including 1/f noise.
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The grey noise definition contradicts the notion of white noise being perceived as white. Furthermore, its energy distribution should, according to how it is defined here, be a function of the absolute sound pressure level.