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Analog signals are continuous waveforms, while digital signals are discrete and represent data in binary format.
Analog signals are continuous waveforms that change over time. They can have any value within a given range, and their changes are smooth and constant. This means that they can represent information more accurately, but they are also more susceptible to noise and distortion. In communication systems, analog signals are often used for voice transmission, as they can accurately represent the continuous changes in sound pressure that make up human speech.
On the other hand, digital signals are discrete, meaning they represent information in a binary format - ones and zeros. These signals are not continuous, but rather change in steps. Each step corresponds to a specific value, which can be used to represent data. Because they are discrete, digital signals are less susceptible to noise and distortion than analog signals. They can also be easily processed and stored by computers, making them ideal for data transmission.
The main difference between analog and digital signals lies in their representation of information. Analog signals can represent information in a more detailed and accurate way, as they can take on any value within a given range. However, this also makes them more susceptible to noise and distortion, as any change in the signal can represent a change in the information.
Digital signals, on the other hand, represent information in a binary format. This makes them less detailed and accurate than analog signals, but also less susceptible to noise and distortion. Because they can be easily processed and stored by computers, digital signals are often used for data transmission in modern communication systems.
In summary, while analog signals offer a more accurate representation of information, they are more susceptible to noise and distortion. Digital signals, while less accurate, are more robust and easier to process, making them ideal for data transmission in modern communication systems.
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