Space-time processing with photorefractive volume holography

Pang Chen Sun, Yeshaiahu Fainman, Yuri T. Mazurenko, David J. Brady

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations

Abstract

Photorefractive volume holography for processing ultrashort optical pulses carrying spatial, temporal and spatio-temporal optical information is introduced. These new holographic methods can process 4-dimensional information that in addition to the 3 spatial coordinates also include the temporal evolution of optical signals on nanosecond to femtosecond scale. Photorefractive volume holographic materials provide the medium necessary for recording and reconstruction in real-time. Applications of direct time domain and spectral domain holography for image processing, temporal matched filtering, optical pulse shaping, 3-D optical storage, and optical interconnects are discussed. Furthermore, the combined space-time holographic processing that allows the conversion between spatial and temporal optical information carrying channels is introduced. This method is used to demonstrate experimentally parallel-to-serial and serial-to-parallel data conversion for 1-D images and image-format data transmission. This holographic processors provide the advantages of self-referenced signal transmission and self-compensation for optical dispersion induced by the holographic materials, communication channel, as well as other optical components. Finally, future research directions for optical information processing with complex spatio-temporal signals are identified and discussed.

Original languageEnglish (US)
Pages (from-to)157-170
Number of pages14
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2529
DOIs
StatePublished - Aug 18 1995
Externally publishedYes
EventPhotorefractive Fiber and Crystal Devices: Materials, Optical Properties, and Applications 1995 - San Diego, United States
Duration: Jul 9 1995Jul 14 1995

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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