« Signal-to-noise Ratio » : différence entre les versions


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[https://deepai.org/machine-learning-glossary-and-terms/signal-to-noise-ratio  Source : DeepAI.org ]
[https://deepai.org/machine-learning-glossary-and-terms/signal-to-noise-ratio  Source : DeepAI.org ]
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[[Catégorie:vocabulary]]
[[Catégorie:vocabulary]]

Version du 15 décembre 2020 à 19:09

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Définition

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Signal-to-noise Ratio A Signal-to-noise ratio is a measure of the amount of background noise with respect to the primary input signal. It is formally defined as he ratio of signal power to noise power, and is often expressed in decibels. For example, a ratio of 1:1 indicates more signal than noise, and is greater than 0 decibels (dB). The Signal-to-noise ratio (SNR) is often referenced regarding electrical signals, however it can be applied to any form of signal including audio, financial trading, or isotope levels in an ice core. Informally, the SNR is sometimes defined as the ratio of useful information to irrelevant information in conversation or data exchange.



Source : DeepAI.org



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