Theoretically, analog systems are superior to digital systems. █ ██████ ██ █ ████ ██████ ██████ ███ ██ ██████████ █████████ █████ ███████ ███████ ██████ ███████ ███████ ████ ███ ████ ███████ ████ █████ ███████ ██████ ████ ████ ███████████ █████████ █████ ██ █ █████████ █████████████ ████████ █████ █████ ██ ██ █████ ██ ███ █████████ ██████ ██ ███ ███████ ███ ███████████ ██ ██ ██████ ██████████████ ██████ ████ ██████████ ████ ███ █████████ █████ ███ ███████ █████ ██████ ████ ██ ██████████ ██ ███████ ███ ███████████ █████ ████ ███████ ███████████ ███ ███████████ ████████ ██ ███ ████████ ███████
In theory, analog systems are better than digital systems. This is because analog signals can be infinitely detailed, whereas digital signals cannot, since they can’t be more precise than their digital units. But there’s an associated disadvantage of analog systems. Since there’s no limit to the level of detail in analog signals, duplication of analog signals allows room for variations from the original (called errors), which tend to build up as the analog signal is further duplicated. At some point, the number of errors in an analog signal makes it impossible to understand the information contained in the original signal.
When duplicated, digital signals allow for less variation than analog signals allow.
Digital systems may be better for signals that must be duplicated many times.
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