Howtosignalprocessing
- Can you able to reconstruct the original signal from sampled signal if it has been sampled at Nyquist rate?
- What is aliasing effect and how do you avoid it?
- What is sampling theorem how band limited signal can be reconstructed from its samples?
- What is sampling and aliasing?
Can you able to reconstruct the original signal from sampled signal if it has been sampled at Nyquist rate?
Nyquist Sampling Theorem:
If a signal is band limited and its samples are taken at sufficient rate then those samples uniquely specify the signal and the signal can be reconstructed from those samples. The condition in which this is possible is known as Nyquist sampling theorem and is derived below.
What is aliasing effect 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.
What is sampling theorem how band limited signal can be reconstructed from its samples?
The sampling theorem shows that a band-limited continuous signal can be perfectly reconstructed from a sequence of samples if the highest frequency of the signal does not exceed half the rate of sampling.
What is sampling and aliasing?
Aliasing is when a continuous-time sinusoid appears as a discrete-time sinusoid with multiple frequencies. The sampling theorem establishes conditions that prevent aliasing so that a continuous-time signal can be uniquely reconstructed from its samples. The sampling theorem is very important in signal processing.
