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Local and Global Phaseless Sampling in Real Spline Spaces

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arxiv 1705.00836 v3 pith:VQHNXX66 submitted 2017-05-02 math.FA

classification math.FA
keywords functionsrecoveryunsignedlocalphaselesssamplingsequencealmost
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We study the recovery of functions in real spline spaces from unsigned sampled values. We consider two types of recovery. The one is to recover functions locally from finitely many unsigned samples. And the other is to recover functions on the whole line from infinitely many unsigned samples. In both cases, we give characterizations for a sequence of distinct points to be a phaseless sampling sequence, at which any nonseparable function is determined up to a sign on an interval or on the whole line by its unsigned sampled values. Moreover, for the case of local recovery, we also study the almost phaseless sampling and give a necessary and sufficient condition for a sequence of points to admit local recovery for almost all functions.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Random phaseless sampling for causal signals in shift-invariant spaces: a zero distribution perspective

    cs.IT 2019-08 conditional novelty 7.0 of 10

    If a signal generator satisfies a new zero-set condition, causal signals in complex-generated shift-invariant spaces can be recovered from three random magnitude samples per unit interval, with probability one.

  2. Phase retrieval of complex and vector-valued functions

    math.FA 2019-09 conditional novelty 5.0 of 10

    Vector-valued, quaternion, and complex phase retrieval are characterized by the non-existence of decompositions f=u+v with orthogonal measurements, and graph vector fields are recoverable up to rotation when their ass...

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