Referenced Items are not available for this document.
Several algorithms have been proposed for multichannel blind deconvolution of images. Many of these algorithms are critically dependent on accurate estimates of the sizes of the unknown filters-wrong estimates can result in catastrophic failure. In this paper we present a residual-based technique for order estimation that is based on the generalized likelihood ratio test (GLRT). The performance of the algorithm is shown to be far superior to subspace rank-based methods typically used for the purpose. We conjecture that the algorithm fails only when the data is corrupted to an extent that makes any kind of reconstruction infeasible.
Published in:
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
(Volume:2
)
Date of Conference: 1-4 Nov. 1998
- Page(s):
- 984 - 988 vol.2
- Meeting Date :
- 01 Nov 1998-04 Nov 1998
- ISSN :
- 1058-6393
- Print ISBN:
- 0-7803-5148-7
- INSPEC Accession Number:
- 6324972
- Conference Location :
- Pacific Grove, CA, USA
- Digital Object Identifier :
- 10.1109/ACSSC.1998.751410
- Product Type:
- Conference Publications
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