Howtosignalprocessing
- What factors limit the potential uses of deconvolution in the real world?
- What is the effect of sampling in frequency domain?
- Why is sampling frequency important?
- What is deconvolution method?
What factors limit the potential uses of deconvolution in the real world?
There are always unknowns in real world applications, caused by such villains as: electronic noise, temperature drift, variation between devices, etc. These unknowns set a limit on how well deconvolution will work.
What is the effect of sampling in frequency domain?
The sampling theorem essentially says that a signal has to be sampled at least with twice the frequency of the original signal. Since signals and their respective speed can be easier expressed by frequencies, most explanations of artifacts are based on their representation in the frequency domain.
Why is sampling frequency important?
If the signal contains high frequency components, we will need to sample at a higher rate to avoid losing information that is in the signal. In general, to preserve the full information in the signal, it is necessary to sample at twice the maximum frequency of the signal.
What is deconvolution method?
Deconvolution refers to a process that separates a heterogeneous mixture signal into its constituent components. In the biomedical field, researchers have used deconvolution methods to derive cell type-specific signals [1,2,3] from heterogeneous mixture data.
