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Proceedings Paper

Performance comparison of equalization and low-pass coding for volume holographic data storage
Author(s): Venkatesh Vadde; Bhagavatula Vijaya Kumar
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Paper Abstract

As densities of holographic storage increase, ISI and noise begin to severely limit data fidelity. The problem of ISI can be alleviated through at least two different techniques namely, equalization and low-pass encoding of the data. We study the relative merits of the two methods and quantify their benefit from a density improvement standpoint.

Paper Details

Date Published: 18 September 2000
PDF: 8 pages
Proc. SPIE 4090, Optical Data Storage 2000, (18 September 2000); doi: 10.1117/12.399347
Show Author Affiliations
Venkatesh Vadde, Carnegie Mellon Univ. (United States)
Bhagavatula Vijaya Kumar, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 4090:
Optical Data Storage 2000
Douglas G. Stinson; Ryuichi Katayama, Editor(s)

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