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Related Experiment Videos

Sparse modulation coding for increased capacity in volume holographic storage.

B M King1, M A Neifeld

  • 1Department of Electrical and Computer Engineering, University of Arizona, Optical Sciences Center, Tucson, Arizona 85721, USA.

Applied Optics
|March 21, 2008
PubMed
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Data-page sparsity in holographic memory increases storage capacity by reducing on-pixels per page. This technique boosts memory capacity by 15% and improves data retrieval reliability.

Area of Science:

  • Holographic data storage
  • Information theory
  • Optical memory systems

Background:

  • Page-oriented memories typically have balanced on/off pixels.
  • Data-page sparsity involves reducing on-pixels, increasing diffracted power.
  • Noise floor and pixel diffraction efficiency limit page count in memories.

Purpose of the Study:

  • To analyze the impact of data-page sparsity on volume holographic memory capacity.
  • To investigate sparsity's effect on interpixel crosstalk and data retrieval.
  • To demonstrate practical capacity gains using sparse-data pages.

Main Methods:

  • Theoretical analysis of sparsity in volume holographic memories.
  • Implementation of enumeration block coding for sparse-data page construction.

Related Experiment Videos

  • Experimental verification of capacity gain and bit-error rate.

    • Main Results:

    • Sparsity increases storable pages by reducing on-pixels per page.
    • Memory capacity can increase by 15% with 25% on-pixels.
    • Reduced interpixel crosstalk and improved data integrity observed.

    Conclusions:

    • Data-page sparsity is a viable method for enhancing holographic memory capacity.
    • Sparse-data pages offer a practical user capacity gain of 16% with a bit-error rate of 10(-4).
    • Enumeration coding enables efficient construction and decoding of sparse data.