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MENTAL MODEL · M7553

Signal-to-Noise Ratio, SNR

Signal-to-Noise Ratio, SNR
Learn & MetacognitionHigh supportCognitive Science
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Version 1.0.0 · Updated 2026-07-30

CORE DEFINITION

The ratio of signal power to noise power, measuring the relative strength of useful information versus interfering information; in cognition and decision-making, it metaphorically represents the proportion of key information to irrelevant noise.

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Signal-to-noise ratio (abbreviated SNR or S/N), also known as signal-to-noise ratio or signal-to-noise ratio, is a measure used in science and engineering to compare the strength of a desired signal to the strength of background noise. It is defined as the ratio of signal power to noise power, expressed in decibels (dB). A ratio greater than 1:1 (higher than 0 dB) indicates more signal than noise. SNR is commonly used to describe electronic signals, but it can also be applied to various forms of signals, such as isotope amounts in ice cores or biochemical signals between cells.

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SNR originally refers to the ratio of signal power to noise power (often expressed in dB); the higher the ratio, the clearer the information. It is extended to mean 'effective information / interfering information'. In decision-making and communication, improving SNR involves both enhancing the signal (core conclusions, key evidence) and reducing noise (irrelevant details, emotions, repetition).

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    zh.wikipedia.orghttps://zh.wikipedia.org/wiki/%E4%BF%A1%E5%99%AA%E6%AF%94ZH · Explicit
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