What is the impact of noise on digital signals?

Digital signals have a certain level of resilience to noise, primarily due to their binary nature, where data is represented as discrete values (usually as 0s and 1s). Noise can introduce errors into the signal; however, as long as the noise levels are not excessively high or the distortion not too severe, the original digital information can still be recovered accurately using error detection and correction techniques. This ability to reconstruct the signal hinges on the fact that digital systems are designed to identify and tolerate some degree of interference.

In contrast, if the noise were to become severe and introduce significant distortion, the signal could eventually become unrecoverable, leading to failures in communication. This insight emphasizes the robustness of digital signals while also highlighting the limits of that robustness.

The notion that digital signals are completely unaffected by noise is misleading; while they can handle some interference, they are not wholly immune. Similarly, the idea that noise enhances digital signals is inaccurate, as noise is generally considered detrimental to signal integrity. Thus, while noise introduces challenges, it is the ability of digital signals to remain intact and potentially reconstructable despite moderate levels of noise that makes the chosen answer correct.