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arxiv: 1303.1285 · v1 · submitted 2013-03-06 · 💻 cs.IT · math.IT· math.ST· stat.TH

Recognition: unknown

Bandlimited Signal Reconstruction From the Distribution of Unknown Sampling Locations

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classification 💻 cs.IT math.ITmath.STstat.TH
keywords locationssamplingbandlimiteddistributedsamplesfieldunknownestimate
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We study the reconstruction of bandlimited fields from samples taken at unknown but statistically distributed sampling locations. The setup is motivated by distributed sampling where precise knowledge of sensor locations can be difficult. Periodic one-dimensional bandlimited fields are considered for sampling. Perfect samples of the field at independent and identically distributed locations are obtained. The statistical realization of sampling locations is not known. First, it is shown that a bandlimited field cannot be uniquely determined with samples taken at statistically distributed but unknown locations, even if the number of samples is infinite. Next, it is assumed that the order of sample locations is known. In this case, using insights from order-statistics, an estimate for the field with useful asymptotic properties is designed. Distortion (mean-squared error) and central-limit are established for this estimate.

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