Howtosignalprocessing
- What is aliasing in sampling?
- How a band-limited signal can be sampled without aliasing?
- How do you find the minimum sampling frequency?
- What is aliasing and how do you avoid it?
What is aliasing in sampling?
Answer : Aliasing occurs when an oscilloscope does not sample the signal fast enough to construct an accurate waveform record. The signal frequency is misidentified, and the waveforms displayed on an oscilloscope become indistinguishable. Aliasing is basically a form of undersampling.
How a band-limited signal can be sampled without aliasing?
Thus, band-limited signals can be sampled and fully recovered only when observing the Nyquist criterion. For bandpass signals the Nyquist criterion will ensure no aliasing only when the recovery of the signal is done with a bandpass filter; otherwise a higher sampling frequency will be required.
How do you find the minimum sampling frequency?
MINIMUM NUMBER OF SAMPLES
f. The sampling theorem states that a real signal, f(t), which is band-limited to f Hz can be reconstructed without error from samples taken uniformly at a rate R > 2f samples per second. This minimum sampling frequency, fs = 2f Hz, is called the Nyquist rate or the Nyquist frequency (6).
What is aliasing and how do you avoid it?
Aliasing is the effect of new frequencies appearing in the sampled signal after reconstruction, that were not present in the original signal. It is caused by too low sample rate for sampling a particular signal or too high frequencies present in the signal for a particular sample rate.
