Howtosignalprocessing
- What is deconvolution in signal processing?
- What is deconvolution of spectra?
- Is deconvolution possible?
What is deconvolution in signal processing?
Deconvolution is the process of filtering a signal to compensate for an undesired convolution. The goal of deconvolution is to recreate the signal as it existed before the convolution took place. This usually requires the characteristics of the convolution (i.e., the impulse or frequency response) to be known.
What is deconvolution of spectra?
'Deconvolution' is the method of involving the process of decomposing peaks that. overlap with each other. It is required to extract the information about the hidden. peak/peaks.
Is deconvolution possible?
In mathematics, deconvolution is the operation inverse to convolution. Both operations are used in signal processing and image processing. For example, it may be possible to recover the original signal after a filter (convolution) by using a deconvolution method with a certain degree of accuracy.
