Linear minimum mean squared error (LMMSE) equalization for holographic data storage

M. Keskinoz; B. V.K. Vijaya Kumar

doi:10.1109/ICC.1999.765602

Linear minimum mean squared error (LMMSE) equalization for holographic data storage

M. Keskinoz, B. V.K. Vijaya Kumar

Carnegie Mellon University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Citations (Scopus)

Abstract

A holographic data storage system (HDSS), just like other storage systems, suffers from interference between adjacent symbols and from noise. In this paper, we present a method for applying the linear minimum mean squared error (LMMSE) equalization to a HDSS. Numerical results with five defocused pages of data indicate that a significant improvement in the bit error rate (BER) is possible using LMMSE equalization.

Original language	English
Title of host publication	1999 IEEE International Conference on Communications, ICC 1999
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1957-1961
Number of pages	5
ISBN (Electronic)	078035284X
DOIs	https://doi.org/10.1109/ICC.1999.765602
Publication status	Published - 1999
Externally published	Yes
Event	1999 IEEE International Conference on Communications, ICC 1999 - Vancouver, Canada Duration: 6 Jun 1999 → 10 Jun 1999

Publication series

Name	IEEE International Conference on Communications
Volume	3
ISSN (Print)	1550-3607

Conference

Conference	1999 IEEE International Conference on Communications, ICC 1999
Country/Territory	Canada
City	Vancouver
Period	6/06/99 → 10/06/99

Bibliographical note

Publisher Copyright:
© 1999 IEEE.

Access to Document

10.1109/ICC.1999.765602

Cite this

Keskinoz, M., & Vijaya Kumar, B. V. K. (1999). Linear minimum mean squared error (LMMSE) equalization for holographic data storage. In 1999 IEEE International Conference on Communications, ICC 1999 (pp. 1957-1961). Article 765602 (IEEE International Conference on Communications; Vol. 3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.1999.765602

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abstract = "A holographic data storage system (HDSS), just like other storage systems, suffers from interference between adjacent symbols and from noise. In this paper, we present a method for applying the linear minimum mean squared error (LMMSE) equalization to a HDSS. Numerical results with five defocused pages of data indicate that a significant improvement in the bit error rate (BER) is possible using LMMSE equalization.",

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year = "1999",

doi = "10.1109/ICC.1999.765602",

language = "English",

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Keskinoz, M & Vijaya Kumar, BVK 1999, Linear minimum mean squared error (LMMSE) equalization for holographic data storage. in 1999 IEEE International Conference on Communications, ICC 1999., 765602, IEEE International Conference on Communications, vol. 3, Institute of Electrical and Electronics Engineers Inc., pp. 1957-1961, 1999 IEEE International Conference on Communications, ICC 1999, Vancouver, Canada, 6/06/99. https://doi.org/10.1109/ICC.1999.765602

Linear minimum mean squared error (LMMSE) equalization for holographic data storage. / Keskinoz, M.; Vijaya Kumar, B. V.K.
1999 IEEE International Conference on Communications, ICC 1999. Institute of Electrical and Electronics Engineers Inc., 1999. p. 1957-1961 765602 (IEEE International Conference on Communications; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Linear minimum mean squared error (LMMSE) equalization for holographic data storage

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