1992
DOI: 10.1364/ao.31.004662
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Generation and evaluation of d-dimensional (d ≥ 3) optical shuffle patterns

Abstract: We use d-dimensional shuffle patterns to describe optical frequency division multiplexing. A complexity measure is derived from the geometry of common shuffle patterns and is extended to evaluate d-dimensional shuffle patterns. The least complexity of the generated patterns is determined with respect to the size and the dimension of the data sets. Trade-offs between the dimension of the data sets and the frequency-conversion-based processing of the pattern generation are discussed. A comparison of multiplexing… Show more

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Cited by 3 publications
(7 citation statements)
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“…Equation (21) has been derived by expressing the maximum skew of the KPS (Appendix A). The maximum number of crossed channels is twice the results for KPS (22) and the structure of (19) remains valid.…”
Section: Distributed Switchesmentioning
confidence: 56%
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“…Equation (21) has been derived by expressing the maximum skew of the KPS (Appendix A). The maximum number of crossed channels is twice the results for KPS (22) and the structure of (19) remains valid.…”
Section: Distributed Switchesmentioning
confidence: 56%
“…The sum of the skews of shuffles depends on the particular decomposition of the coordinates and in turn on the type of the shuffle [22]. The numbering of the data by d-tuples, their proper organization and their interconnection according to d-dimensional shuffles reduces, e.g., the sum of the skews which is shown in the following.…”
Section: A Shujj?e Interconnectionsmentioning
confidence: 98%
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“…In this section we mention works that deal with the optical interconnections only, without consideration of the overall computing system architecture [30,31,32,33,34,35,36,37,38,39,40,41]. These studies concentrate primarily on optical systems to image arrays of sources onto arrays of detectors in an efficient manner.…”
Section: Architectures For Free-space Opticsmentioning
confidence: 99%