Howtosignalprocessing
- How can we relate aliasing with Nyquist rate?
- What is aliasing in Nyquist?
- What happens if you sample at the Nyquist rate?
- What is aliasing and Nyquist sampling criteria?
How can we relate aliasing with Nyquist rate?
When the highest frequency (bandwidth) of a signal is less than the Nyquist frequency of the sampler, the resulting discrete-time sequence is said to be free of the distortion known as aliasing, and the corresponding sample rate is said to be above the Nyquist rate for that particular signal.
What is aliasing in Nyquist?
When a component of the signal is above the Nyquist, a sampling error occurs that is called aliasing. Aliasing “names” a frequency above Nyquist by an “alias” the same distance below Nyquist. Sinusoidal signal at 1.3 times Nyquist before sampling into pixels.
What happens if you sample at the Nyquist rate?
It can be seen that by sampling at the Nyquist rate, we can get the frequency information about the signal. However, to faithfully reconstruct the signal, we have to increase the sampling rate even more.
What is aliasing and Nyquist sampling criteria?
Simply stated, the Nyquist criterion requires that the sampling frequency be at least twice the highest frequency contained in the signal, or information about the signal will be lost. If the sampling frequency is less than twice the maximum analog signal frequency, a phenomenon known as aliasing will occur.
