Signal-to-Noise Ratio

Signal-to-noise ratio (abbreviated SNR) is a measure used in science and engineering that compares the level of a desired signal to the level of background noise. It is defined as the ratio of signal power to the noise power. This is very helpful to apply in the comreprehension of developing our levels of increasing Higher Sensory Perception, Remote Viewing and Expanding Consciousness.

Signal-to-noise ratio is sometimes used informally to refer to the ratio of useful information to false or irrelevant data in a conversation or exchange. For example, in online discussion forums and other online communities, off-topic posts and spam are regarded as "noise" that interferes with the "signal" of appropriate discussion.

In studies of how Higher Sensory Perception works, it has long been held that mental images are formed first, and only then do estimations of their meaning take place.

But, and very briefly, in signal-to-noise theory when applied to the human nervous systems:

• Signals first come in
• The signals are then, in pre-conscious processing, translated into information-meaning categories, usually by some kind of comparing with meanings already stored in memory banks
• If memory-meanings comparable to the signals are found, then mental images can be manufactured and rise into consciousness
• However, if no comparable or comparative memory-meanings are available, then the pre-conscious systems segue over to the next best memory-meanings – and mental perceptions and images are then constructed in the light of those
• When this happens, the resulting mental-image impressions can be at some distance from the real import of the original signals, but can carry bits of information contained in the original signals