Optimisation of data density in Fourier holographic system using spatial filtering and sparse modulation coding

Attila Süto, Emoke Lorincz

Research output: Contribution to journalArticle

5 Citations (Scopus)


A computer model is presented that can be used to determine the image formed by a 8-f Fourier imaging system. With the model we optimised data density in a thin film Fourier holographic arrangement. Results of the simulations were experimentally verified in the holographic memory card system. We optimised the capacity in function of sparsity and Fourier filtering close to the Nyquist aperture. We achieved a data density of 1.1-bit/μm2. Our results suggest that the sparse pages combined with spatially filtered Fourier spectrum lead to better performance compared to balanced codes.

Original languageEnglish
Pages (from-to)541-546
Number of pages6
Issue number12
Publication statusPublished - Dec 1 2004



  • Coding
  • Data recovery
  • Fourier-transform imaging
  • Holographic memory

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

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