Explanation: Adaptive filtering is a powerful digital signal processing (DSP) technique where the filter's characteristics are adjusted automatically over time to minimize noise or interference in a desired signal. This process often involves estimating the noise characteristics and then "subtracting" them from the composite signal, allowing the desired signal to emerge more clearly. Autocorrelation is a mathematical operation frequently employed within adaptive filters to identify patterns, such as the characteristics of the noise or the signal itself, to facilitate this subtraction. In contrast, noise blanking (B) is primarily for removing short-duration, impulse noise (like ignition noise) by momentarily muting the receiver. Noise limiting (C) clips or limits the amplitude of strong noise peaks. Auto squelch noise reduction (D) mutes the receiver entirely when no signal is present, preventing constant background noise, rather than processing a noisy signal to subtract the noise. These other options either don't specifically involve DSP noise *subtraction* or serve different functions.