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Constrained iterative deconvolution using a conjugate gradient algorithm

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

In this paper the problem of contrained deconvolution is related to the minimization of a functional. By applying the conjugate gradient algorithm of optimization theory to this minimization an efficient iterative algorithm for deconvolution is developed. This algorithm is then extended to perform constrained deconvolution and the performance of the new algorithms is compared with other published algorithms.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '82.  (Volume:7 )

Date of Conference:

May 1982