DocumentCode
3030701
Title
Comparative study of iterative deconvolution algorithms
Author
Mersereau, R.N. ; Schafer, R.W.
Author_Institution
Georgia Institute of Technology, Atlanta, GA, USA
Volume
3
fYear
1978
fDate
28581
Firstpage
192
Lastpage
195
Abstract
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.
Keywords
Bandwidth; Convergence; Convolution; Deconvolution; Equations; Filters; Fourier transforms; Frequency; Iterative algorithms; Sufficient conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '78.
Type
conf
DOI
10.1109/ICASSP.1978.1170394
Filename
1170394
Link To Document