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Stochastic State Space Representation of Images

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Control Theory, Numerical Methods and Computer Systems Modelling

Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 107))

Abstract

The representation of “time sequences” by recursive models driven by white noise has naturally contributed in the sixties to the development of numerous real time recursive processing algorithms.

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References

  1. - Attasi S.; Systèmes linéaires homogènes à deux indices; Rapport Laboria n° 31; Septembre 1973.

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  7. - Attasi S.; Modèles stochastiques de suites gaussiennes à deux indices; Rapport Laboria n° 56; Février 1974.

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Author information

Authors and Affiliations

  1. IRIA - LABORIA, France

    Samer Attasi

Authors
  1. Samer Attasi
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Editor information

Editors and Affiliations

  1. Domaine de Voluceau - Rocquencour, IRIA LABORIA, F-78150, Le Chesnay, France

    A. Bensoussan  & J. L. Lions  & 

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© 1975 Springer-Verlag Berlin · Heidelberg

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Attasi, S. (1975). Stochastic State Space Representation of Images. In: Bensoussan, A., Lions, J.L. (eds) Control Theory, Numerical Methods and Computer Systems Modelling. Lecture Notes in Economics and Mathematical Systems, vol 107. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46317-4_15

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  • DOI: https://doi.org/10.1007/978-3-642-46317-4_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-07020-7

  • Online ISBN: 978-3-642-46317-4

  • eBook Packages: Springer Book Archive

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