Integral Shape Averaging applied to delayed windows of the same signal

Abstract : 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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https://hal.archives-ouvertes.fr/hal-01831897
Contributor : Hervé Rix <>
Submitted on : Friday, July 6, 2018 - 12:28:35 PM
Last modification on : Monday, November 5, 2018 - 3:52:01 PM
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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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