Research Topic · Peer-Reviewed

Signal to Noise Ratio

The signal-to-noise ratio (SNR), also known as the signal-to-noise (S/N) ratio, is a measure of how much a signal is above the noise floor or background noise level. It quantifies the amount of useful information contained in a signal relative to the noise contained in it. SNR is important to many applications in va…

Curated from this journal's research 📚 11 peer-reviewed articles cited Cited 151× across the literature 🔖 ISSN 2643-2811 🗓 Reviewed June 2026

Overview

The signal-to-noise ratio (SNR), also known as the signal-to-noise (S/N) ratio, is a measure of how much a signal is above the noise floor or background noise level. It quantifies the amount of useful information contained in a signal relative to the noise contained in it. SNR is important to many applications in various domains such as telecommunications, computer systems, and audio recording, among many others. It is used to evaluate the quality of a signal and the efficiency of audio and video encoding algorithms. An increasing noise-to-signal ratio is beneficial as it allows for more efficient data transfer. The signal-to-noise ratio is a powerful indicator of audio and video quality, as a higher ratio indicates a better quality signal.

Research published in this journal

11 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 11 articles above have been cited 151 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Signal to Noise Ratio, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Model Based Research (ISSN 2643-2811).

Journal editorial board
Yoshiaki Kikuchi · Japan Yung-Yao Chen · Taiwan Yang Chen · United States

This page summarises published research for orientation; it is not medical or professional advice.