2017 IEEE International Symposium on Information Theory (ISIT) 2017
DOI: 10.1109/isit.2017.8006917
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Structured spherical codes with asymptotically optimal distance distributions

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Cited by 5 publications
(8 citation statements)
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“…We iterate until the deviation between consecutive cost function evaluations is less than a tolerance level of 10 −3 . Table I shows the optimizing radii vector r, the global circumradius (tube radius) ρG,r, and the tube density from (24) for a small sample of even dimensional C3T codes computed from SPSA optimization of (25). Similar to previous results on sphere packing [28], the tube packing density decreases rapidly with increase in dimensions.…”
Section: B Optimization Of C3t Encodersupporting
confidence: 66%
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“…We iterate until the deviation between consecutive cost function evaluations is less than a tolerance level of 10 −3 . Table I shows the optimizing radii vector r, the global circumradius (tube radius) ρG,r, and the tube density from (24) for a small sample of even dimensional C3T codes computed from SPSA optimization of (25). Similar to previous results on sphere packing [28], the tube packing density decreases rapidly with increase in dimensions.…”
Section: B Optimization Of C3t Encodersupporting
confidence: 66%
“…The fact that constant curvature curves are geodesics on flat tori allows for improved decoder performance since we can project observations onto the torus prior to decoding to the closest point on the curve. That T n/2 is isometric with a n/2hyperrectangle establishes a link to lattice coding methods, but those are not used here; more details on this are available in our previous work [24]. Nearly all of prior studies [17,18] on analog coding with constant curvature curves explicitly make use of the isometry with the hyperrectangle in their decoder construction.…”
Section: A Flat Torimentioning
confidence: 99%
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“…This method foliates the sphere S 2n−1 by flat manifolds S 1 × • • • × S 1 and distributes points using good packing density lattices in the half-dimension [8], [9]. Other recent contributions to this topic include codes obtained by partitioning the sphere into regions of equal area [10], bounds for constructible codes near the Shannon bound [11], commutative group codes [12], [13] and cyclic group codes [14]. One main challenge for the application of spherical codes is the effective constructiveness for a large range of distances at a reasonable computational cost, which we propose to address in this work.…”
Section: Introductionmentioning
confidence: 99%