Referenced Items are not available for this document.
It is shown that a number of well known iterative deconvolution algorithms are closely related members of a general class. This point of view leads to new understanding of previous approaches and to a new algorithm that incorporates both a finite interval constraint and a positivity constraint on the output of the deconvolution process. Examples are given to illustrate performance on gamma-ray spectra.
Published in:
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '78.
(Volume:3
)
Date of Conference: Apr 1978
- Page(s):
- 192 - 195
- Digital Object Identifier :
- 10.1109/ICASSP.1978.1170394
- Product Type:
- Conference Publications
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