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Aliasing is caused when:
- a)Sampling frequency must be equal to the message signal
- b)Sampling frequency must be greater to the message signal
- c)Sampling frequency must be less to the message signal
- d)Sampling frequency must be greater than or equal to the message signal
Correct answer is option 'C'. Can you explain this answer?
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Aliasing is caused when:a)Sampling frequency must be equal to the mess...
Explanation: Aliasing refers to the process when the discrete time signal is recontructed back then due to the error some part of the signal is lost and is caused when sampling frequency must be less than frequency of message signal.
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Aliasing is caused when:a)Sampling frequency must be equal to the mess...
Aliasing in Sampling:
Aliasing occurs when the sampling frequency is less than the message signal frequency. This phenomenon leads to incorrect interpretation of the sampled signal and distortion in the reconstructed signal.
Cause of Aliasing:
- When the sampling frequency is insufficient to capture the signal frequency accurately, higher frequency components of the signal fold back into lower frequencies, causing distortion.
- The Nyquist-Shannon sampling theorem states that the sampling frequency must be at least twice the highest frequency component of the signal to avoid aliasing.
Effect of Insufficient Sampling Frequency:
- Aliasing results in the loss of information and fidelity of the original signal.
- It can introduce false frequencies in the reconstructed signal, leading to inaccuracies in signal processing and interpretation.
Prevention of Aliasing:
- To prevent aliasing, the sampling frequency must be chosen carefully based on the frequency content of the signal.
- Increasing the sampling frequency above the Nyquist rate ensures accurate representation of the signal without aliasing.
In conclusion, aliasing occurs when the sampling frequency is less than the message signal frequency, leading to distortion and inaccuracies in signal processing. It is essential to adhere to the Nyquist-Shannon sampling theorem to prevent aliasing and ensure accurate representation of the original signal.
Aliasing occurs when the sampling frequency is less than the message signal frequency. This phenomenon leads to incorrect interpretation of the sampled signal and distortion in the reconstructed signal.
Cause of Aliasing:
- When the sampling frequency is insufficient to capture the signal frequency accurately, higher frequency components of the signal fold back into lower frequencies, causing distortion.
- The Nyquist-Shannon sampling theorem states that the sampling frequency must be at least twice the highest frequency component of the signal to avoid aliasing.
Effect of Insufficient Sampling Frequency:
- Aliasing results in the loss of information and fidelity of the original signal.
- It can introduce false frequencies in the reconstructed signal, leading to inaccuracies in signal processing and interpretation.
Prevention of Aliasing:
- To prevent aliasing, the sampling frequency must be chosen carefully based on the frequency content of the signal.
- Increasing the sampling frequency above the Nyquist rate ensures accurate representation of the signal without aliasing.
In conclusion, aliasing occurs when the sampling frequency is less than the message signal frequency, leading to distortion and inaccuracies in signal processing. It is essential to adhere to the Nyquist-Shannon sampling theorem to prevent aliasing and ensure accurate representation of the original signal.
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Aliasing is caused when:a)Sampling frequency must be equal to the message signalb)Sampling frequency must be greater to the message signalc)Sampling frequency must be less to the message signald)Sampling frequency must be greater than or equal to the message signalCorrect answer is option 'C'. Can you explain this answer?
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