Which of the following is a common method for reducing noise in digital signals?

One of the primary challenges in working with digital signals is the presence of noise, which can distort the signal and negatively affect its quality. Filtering techniques are commonly used to mitigate this issue because they can effectively separate the desired signal from unwanted noise by allowing certain frequency components to pass while attenuating others.

Filters can be designed to target specifics, such as low-pass, high-pass, band-pass, or notch filtering, depending on the nature of the noise and the signal characteristics. For example, low-pass filters can remove high-frequency noise from a signal, while high-pass filters can eliminate low-frequency interference. This tailored approach ensures that the integrity of the digital signal is preserved while reducing extraneous noise.

Increasing signal strength may help in some scenarios to enhance signal clarity, but it can also amplify both the desired signal and the noise, potentially worsening the overall quality. Changing the storage format typically does not impact noise levels directly and instead focuses on how data is stored. Adjusting display settings does not address the intrinsic noise in the signal itself; instead, it may modify how the signal is presented visually but does not reduce noise at the signal level. Thus, filtering techniques stand out as the most effective and targeted method for reducing noise in digital signals.