Howtosignalprocessing
- How can you reconstruct the original signal from the sampled signal?
- What is the necessary condition to recover the original signal from samples?
- How to resample non uniform data matlab?
- What is the resultant signal called after it has been sampled?
How can you reconstruct the original signal from the sampled signal?
The reconstruction process consists of replacing each sample by a sinc function, centered at the time of the sample and scaled by the sample value x(nT) times 2fc/ fs and adding all the functions so created. Suppose the signal is sampled at exactly Nyquist rate fs= 2fm, Then fm= fs/2 = fs- fm and Fm= 1/2 = 1- Fm.
What is the necessary condition to recover the original signal from samples?
The original signal is recoverable from its sampled form when the highest frequency component is less than the Nyquist frequency, ωs/2.
How to resample non uniform data matlab?
To resample a nonuniformly sampled signal, you can call resample with a time vector input. The next example converts our original signal to a uniform 44.1 kHz rate. You can see that our resampled signal has the same shape and size as the original signal.
What is the resultant signal called after it has been sampled?
When the signal is converted back into a continuous time signal, it will exhibit a phenomenon called aliasing. Aliasing is the presence of unwanted components in the reconstructed signal. These components were not present when the original signal was sampled.
