How do digital signals represent information compared to analog signals?

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Digital signals represent information as discrete values, which contrasts sharply with analog signals that portray information in a continuous manner. This means that digital signals can only take on specific values, typically represented as binary digits—0s and 1s. This discrete nature enables digital signals to provide a clearer, more reliable representation of data, particularly in the face of noise, as each value is defined and distinct.

The use of discrete values allows for easier processing and storage of information in digital systems, leading to advancements in data compression, transmission, and error correction. In contrast, analog signals, which are continuous, are subject to variations that can introduce distortion and noise, making them less suited for many modern applications.

The other options do not accurately capture the essence of digital signals. Continuous values pertain to analog signals, while variable frequencies and static levels are terms that describe aspects of different signal types but don't define the core representation method of digital signals.

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