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Generalized Schur-Coleski factorization with applications to image processing

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Abstract

A special type of factorization for operators defined on partially ordered Hilbert resolution spaces is considered. The main result includes, as a particular case, the classical Schur-Coleski triangular factorization. Connections with stochastic optimization and image-processing problems are established.

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References

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Authors and Affiliations

  1. Department of Electrical Engineering, Ecole Polytechnique de Montreal, H3C 3A7, Montreal, Quebec, Canada

    Romano M. DeSantis

  2. Department of Electrical Engineering, Louisiana State University, 70803, Baton Rouge, Louisiana, USA

    William A. Porter

Authors
  1. Romano M. DeSantis
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  2. William A. Porter
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Additional information

This research was sponsored in part under NSF grant 78/88/71, AFOSR grant 78-3500 and Canadian Research Council grant CNRC-A-8244.

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DeSantis, R.M., Porter, W.A. Generalized Schur-Coleski factorization with applications to image processing. Circuits Systems and Signal Process 3, 315–325 (1984). https://doi.org/10.1007/BF01599079

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  • DOI: https://doi.org/10.1007/BF01599079

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