Super-exponential methods for blind deconvolution

Ofir Shalvi*, Ehud Weinstein

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


We present a class of iterative methods for solving the problem of blind deconvolution of an unknown possibly non-minimum phase linear system driven by an unobserved input process. The methods converge monotonically at a very fast super-exponential rate to the desired solution in which the inverse of the unknown system is identified, and the input process is recovered up to a delay and possibly a constant phase shift. The proposed methods are universal in the sense that they do not impose any restrictions on the probability distribution of the input process, provided that it is non-Gaussian.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsSimon Haykin
PublisherPubl by Int Soc for Optical Engineering
Number of pages10
ISBN (Print)0819406937
StatePublished - 1991
EventAdaptive Signal Processing - San Diego, CA, USA
Duration: 22 Jul 199124 Jul 1991

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


ConferenceAdaptive Signal Processing
CitySan Diego, CA, USA


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