Explain the concept of "signal to noise," and give a
mathematical definition.
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Answer / Hariom Narayan
Signal-to-noise ratio (SNR) is a measure of the strength of a desired signal compared to the level of background noise. In other words, it quantifies how much the signal stands out from the surrounding interference. Mathematically, SNR is defined as the ratio of the root mean square (RMS) value of the signal to the RMS value of the noise: SNR = |S| / |N|. The absolute values are used because the signal and noise can be positive or negative.
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