Aliasing in Nyquist Theorem
Aliasing in Nyquist Theorem is simply referred to as the unnatural disturbance that may occur during when the signals are reconstructed from one form to another. It may be referred to as the unwanted frequencies in an audio recording or strange patterns in an image or information that is necessarily lost during analog to digital conversion. Jitter noise in audio may be regarded as Aliasing. To fix the problem of aliasing, Nyquist derived this theorem.
Disadvantages of Aliasing
- It leads to noise, which can disrupt a signal.
- It leads to distortion and pixelation of of any signal.
- It disrupts data signal transmission.
- It can lead to degrade the quality of the signal which can lead to loss of data.
- It can interfere with the accurate detection of signals, leading to missed or false detections.
- It can cause misinterpretation of the signal
Nyquist Sampling Theorem
Nyquist Theorem also referred to as the Sampling Theorem is a principle of reproducing a sample rate, that is at least twice the frequency of the original signal. This principle is very important in all analog-to-digital conversion and is applied in digital audio and video to minimize a problem referred to as Aliasing.
In digital communication, signals are representations of information that are transmitted from one point to another in a digital format. Nyquist Sampling is a critical theorem that is used to derive the frequency of the signal to reconstruct without aliasing. Aliasing refers to the distortion or unwanted noise that may destroy a signal’s integral value.