Blockwise data detection for spectral hole-burning memories

Lilin Zhang, Mark A. Neifeld

Research output: Contribution to journalArticlepeer-review


We consider the retrieval of data from a time-domain spectral hole-burning SHB! memory system. A new iterative log-likelihood ILL! algorithm is used to reliably detect corrupted retrieved data signals. It is a blockwise technique that takes advantage of the known SHB system characteristics to mitigate time-varying intersymbol interference and detector shot noise. We present bit-error-rate results obtained with the ILL algorithm and five other typical methods i.e., precompensator, simple threshold, adaptive threshold, a simple Wiener filter, and an adaptive Wiener filter!. Results show that the ILL algorithm outperforms all five techniques and hence offers improved SHB storage capacity. In a SHB system with typical material parameters, we find that ILL offers a storage capacity gain of 197% as compared with simple thresholding.

Original languageEnglish (US)
Pages (from-to)1832-1842
Number of pages11
JournalApplied optics
Issue number11
StatePublished - Apr 10 2001

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering


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