An analog signal is subject to
electronic noise and
distortion introduced by
communication channels,
recording and
signal processing operations, which can progressively degrade the
signal-to-noise ratio (SNR). As the signal is transmitted, copied, or processed, the unavoidable noise introduced in the signal path will accumulate as a
generation loss, progressively and irreversibly degrading the SNR, until in extreme cases, the signal can be overwhelmed. Noise can show up as
hiss and
intermodulation distortion in audio signals, or
snow in
video signals. Generation loss is irreversible as there is no reliable method to distinguish the noise from the signal. Note that, despite a popular misconception, analog representations do not provide "infinite" resolution or accuracy, due to this inevitable presence of noise (and therefore error) in any real-world system.
Converting an analog signal to digital form introduces a low-level
quantization noise into the signal due to finite resolution of digital systems. Once in digital form, the signal can be transmitted, stored, and processed without introducing additional noise or distortion using
error detection and correction. Noise accumulation in analog systems can be minimized by
electromagnetic shielding,
balanced lines,
low-noise amplifiers and high-quality electrical components. ==See also==