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Comparative study of iterative deconvolution algorithms

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2 Author(s)
Mersereau, R. ; Georgia Institute of Technology, Atlanta, GA, USA ; Schafer, R.W.

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