- What is the deconvolution of a signal?
- What is Fourier deconvolution?
- What is convolution and deconvolution?
What is the deconvolution of a signal?
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 Fourier deconvolution?
Fourier self-deconvolution (FSD) is a mathematical means for reducing bandwidths, so that overlapped bands can be resolved from one another. The principles of FSD are described briefly, and examples are shown of how overlapped infrared spectra can be enhanced so as to greatly improve their information content.
What is convolution and deconvolution?
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.