As a mathematician trying to understand the way the Signal-To-Noise ratio works in Digital Signal Processing, I have the following observation:
A signal is recorded, suppose I recorded a class lecture. When I insert this recording in audio-software which shows the recorded sound waves over time, I am able to determine the amplitude of the teacher's spoken voice and the amplitude of (static class) noise when the teacher is silent for some time. Suppose my recording indicates that the amplitude of the sound waves when my teacher speaks is at 50 dB and 20 dB when he is silent. For a signal-to-noise ratio I would instinctively divide 50 over 20, obtaining a ratio of 2.5. Or maybe more instinctively, the noise is 40% of the total incoming sound (noise-to-signal). Is my intuition failing me because the scale of sound (dBs) is not linear?
From one source I read that I could interpret determining the signal-to-noise ratio as [Teacher+Noise in dB]-[Noise in dB]=[Signal-to-Noise in dB], which would result in a 30 dB signal-to-noise ratio in the above mentioned example. Can anyone confirm if this is correct?