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asing
Aliasing is a phenomenon that occurs when a signal or image is sampled at a rate that is lower than its original frequency. This causes the signal to appear distorted or “aliased”. Aliasing can occur in both digital and analog systems, and it is an important concept to understand when dealing with signals and images.
In digital systems, aliasing occurs when a signal is sampled at a rate that is too low to accurately represent the original signal. This means that the digital signal will not accurately represent the original signal, and the resulting signal will appear distorted. To avoid this, digital systems must sample the signal at a rate that is at least twice the highest frequency of the signal. This is known as the Nyquist rate, and it ensures that the signal is accurately represented.
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In analog systems, aliasing occurs when a signal is sampled at a rate that is too low to accurately represent the original signal. This causes the signal to appear distorted, and it can cause the signal to appear as if it is coming from a different source than the original signal. To avoid this, analog systems must sample the signal at a rate that is at least twice the highest frequency of the signal. This is also known as the Nyquist rate, and it ensures that the signal is accurately represented.
Aliasing can also occur in images. When an image is sampled at a rate that is too low, the resulting image will appear distorted. To avoid this, the image must be sampled at a rate that is at least twice the highest frequency of the image. This is also known as the Nyquist rate, and it ensures that the image is accurately represented.
In conclusion, aliasing is a phenomenon that occurs when a signal or image is sampled at a rate that is lower than its original frequency. This causes the signal or image to appear distorted, and it is important to understand and avoid aliasing in order to ensure that the signal or image is accurately represented.