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Ultimate Information Capacity of a Volume Photosensitive Media

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2014)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 8638))

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Abstract

The ultimate information capacity of a volume photosensitive media for the case of an optimal use of the dynamic range of, number of pages, the readout conditions is considered. The volume hologram is regarded as an object of the information theory. For the first time the formalism of the reciprocal lattice has been introduced in order to estimate the informational properties of the hologram. The diffraction-limited holographic recording is analyzed in the framework of the reciprocal lattice formalism. Calculations of the information capacity of a three-dimensional hologram involve analysis of a set of multiplexed holograms, each of which has a finite signal-to-noise ratio determined by the dynamic range of the holographic medium and the geometry of recording and readout. An optimal number of pages that provides a maximum information capacity at angular multiplexing is estimated.

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Author information

Authors and Affiliations

  1. St.-Petersburg State Polytechnical University, Polytechnicheskaya Str, 29, St.-Petersburg, 195251, Russia

    Yuriy I. Kuzmin & Viktor M. Petrov

Authors
  1. Yuriy I. Kuzmin
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  2. Viktor M. Petrov
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Editor information

Editors and Affiliations

  1. FRUCT Oy, Kissankellontie 20B,, 00930, Helsinki, Finland

    Sergey Balandin

  2. Department of Electronics and Communications Engineering, Tampere University of Technology, Korkeakoulunkatu 1, 33720, Tampere, Finland

    Sergey Andreev  & Yevgeni Koucheryavy  & 

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Kuzmin, Y.I., Petrov, V.M. (2014). Ultimate Information Capacity of a Volume Photosensitive Media. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2014. Lecture Notes in Computer Science, vol 8638. Springer, Cham. https://doi.org/10.1007/978-3-319-10353-2_61

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  • DOI: https://doi.org/10.1007/978-3-319-10353-2_61

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10352-5

  • Online ISBN: 978-3-319-10353-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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