What Are the Types of Deconvolution?

There are two main types of deconvolution algorithm: deblurring and restorative.

1. What are deconvolution methods?
2. What is deconvolution in seismic processing?
3. What is deconvolution in signal processing?
4. What is spiking and predictive deconvolution?

What are deconvolution methods?

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.

What is deconvolution in seismic processing?

Deconvolution is the inverse process that removes the effect of the wavelet from the seismogram. Deconvolution attempts to compress the wavelet, thereby increasing the resolution of the seismic data.

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 spiking and predictive deconvolution?

Predictive deconvolution can also be used to increase resolution by altering wavelet shape and amplitude spectrum. Spiking deconvolution is a special case where the gap is set to one sample and the resulting phase spectrum is zero.