The beltway problem over orthogonal groups

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
Tamir Bendory, Dan Edidin, Oscar Mickelin
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引用次数: 0

Abstract

The classical beltway problem entails recovering a set of points from their unordered pairwise distances on the circle. This problem can be viewed as a special case of the crystallographic phase retrieval problem of recovering a sparse signal from its periodic autocorrelation. Based on this interpretation, and motivated by cryo-electron microscopy, we suggest a natural generalization to orthogonal groups: recovering a sparse signal, up to an orthogonal transformation, from its autocorrelation over the orthogonal group. If the support of the signal is collision-free, we bound the number of solutions to the beltway problem over orthogonal groups, and prove that this bound is exactly one when the support of the signal is radially collision-free (i.e., the support points have distinct magnitudes). We also prove that if the pairwise products of the signal's weights are distinct, then the autocorrelation determines the signal uniquely, up to an orthogonal transformation. We conclude the paper by considering binary signals and show that in this case, the collision-free condition need not be sufficient to determine signals up to orthogonal transformation.
正交群上的带路问题
经典的带状线问题需要从圆周上无序的成对距离中恢复一组点。这个问题可以看作是晶体学相位检索问题的一个特例,即从周期性自相关中恢复稀疏信号。基于这一解释,并受冷冻电子显微镜的启发,我们提出了对正交群的自然概括:从正交群上的自相关中恢复稀疏信号,直至正交变换。如果信号的支撑点是无碰撞的,我们将对正交群上的带路问题解的数量进行约束,并证明当信号的支撑点是径向无碰撞的(即支撑点具有不同的大小)时,这个约束正好是一。我们还证明,如果信号权重的成对乘积是不同的,那么自相关决定了信号的唯一性,直到正交变换为止。最后,我们考虑了二进制信号,并证明在这种情况下,无碰撞条件不一定足以决定信号的正交变换。
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来源期刊
Applied and Computational Harmonic Analysis
Applied and Computational Harmonic Analysis 物理-物理:数学物理
CiteScore
5.40
自引率
4.00%
发文量
67
审稿时长
22.9 weeks
期刊介绍: Applied and Computational Harmonic Analysis (ACHA) is an interdisciplinary journal that publishes high-quality papers in all areas of mathematical sciences related to the applied and computational aspects of harmonic analysis, with special emphasis on innovative theoretical development, methods, and algorithms, for information processing, manipulation, understanding, and so forth. The objectives of the journal are to chronicle the important publications in the rapidly growing field of data representation and analysis, to stimulate research in relevant interdisciplinary areas, and to provide a common link among mathematical, physical, and life scientists, as well as engineers.
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