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In a discrete-time signal, what does the term 'aliasing' refer to?

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Question: In a discrete-time signal, what does the term \'aliasing\' refer to?

Options:

  1. Loss of signal strength
  2. Distortion of the signal due to insufficient sampling
  3. The process of filtering a signal
  4. The conversion of a signal from analog to digital

Correct Answer: Distortion of the signal due to insufficient sampling

Solution:

Aliasing occurs when a signal is sampled at a rate lower than twice its highest frequency, causing different signals to become indistinguishable.

In a discrete-time signal, what does the term 'aliasing' refer to?

Practice Questions

Q1
In a discrete-time signal, what does the term 'aliasing' refer to?
  1. Loss of signal strength
  2. Distortion of the signal due to insufficient sampling
  3. The process of filtering a signal
  4. The conversion of a signal from analog to digital

Questions & Step-by-Step Solutions

In a discrete-time signal, what does the term 'aliasing' refer to?
  • Step 1: Understand that a signal is a representation of information, like sound or light.
  • Step 2: Know that signals have different frequencies, which are how fast they change.
  • Step 3: Realize that when we want to use a signal in a digital format, we need to sample it, which means taking measurements at specific intervals.
  • Step 4: Learn about the Nyquist Theorem, which states that to accurately capture a signal, we need to sample it at least twice the rate of its highest frequency.
  • Step 5: Understand that if we sample a signal at a rate lower than this (less than twice the highest frequency), we can lose important information.
  • Step 6: This loss of information causes different signals to look the same when sampled, which is called 'aliasing'.
  • Step 7: In simple terms, aliasing makes it hard to tell apart signals that are actually different.
  • Aliasing – Aliasing refers to the phenomenon where different signals become indistinguishable when a signal is sampled at a rate lower than twice its highest frequency, leading to distortion in the reconstructed signal.
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