Howtosignalprocessing
- What happens if a signal is Undersampled?
- What is undersampling in image processing?
- What is undersampling and oversampling in digital signal processing?
- What is undersampling in signals and systems?
What happens if a signal is Undersampled?
Undersampling leads to three significant complications: (1) MTF and NPS do not behave as transfer amplitude and variance, respectively, of a single sinusoid, (2) the response of a digital system to a delta function is not spatially invariant and therefore does not fulfill certain technical requirements of classical ...
What is undersampling in image processing?
Undersampling has the effect of distorting image details, resulting in a phenomenon termed aliasing, which occurs when undersampled high spatial frequencies masquerade as (or "alias" to) lower spatial frequencies. There are several methods available for suppressing the effects of aliasing.
What is undersampling and oversampling in digital signal processing?
Over-sampling implies having many more samples than the highest frequency of interest, and under-sampling implies we are down-converting the bandwidth of interest with a higher harmonic of the sampling clock (effectively).
What is undersampling in signals and systems?
If we use the sampling frequency less than twice the maximum frequency component in the signal, then it is called undersampling. Undersampling is also known as band pass sampling, harmonic sampling or super-Nyquist sampling.
