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Rapport (Rapport De Recherche) Année : 2018

Integral Shape Averaging applied to delayed windows of the same signal

Résumé

Integral Shape Averaging (ISA) is a technique for averaging a series of positive signals using their normalized integrals. In case of equal shape signals, ISA gives an estimation of this shape with an increased SNR due to integration. A new application of ISA is presented here: from only one recording of a positive signal embedded in noise, applying ISA to a series of delayed windows containing the signal can give a good estimation of this signal. Simulation results are given on a double and then a triple Gaussian embedded in white zero mean noise, with different SNRs.
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Dates et versions

hal-01831897 , version 1 (06-07-2018)

Identifiants

  • HAL Id : hal-01831897 , version 1

Citer

Hervé Rix. Integral Shape Averaging applied to delayed windows of the same signal. [Research Report] Laboratoire I3S / UNS; UMR 7271 UNS/CNRS member of UCA. 2018. ⟨hal-01831897⟩
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