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Communication Dans Un Congrès Année : 2020

Spectrum estimation for time-series based on binary data

Mathieu Pouliquen
M. Frikel
Said Safi
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Résumé

This paper focuses on the spectral analysis of time series. The samples of the time series are assumed to be unknown, we only know if samples are lower or higher than a given threshold. The paper proposes an algorithm for the estimation of the (power) spectrum, this algorithm considers first the estimation of the auto-correlation function of the time series. Simulation results are given to show the effectiveness of theproposed approach.
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Dates et versions

hal-02974048 , version 1 (21-10-2020)

Identifiants

  • HAL Id : hal-02974048 , version 1

Citer

Hicham Oualla, Mathieu Pouliquen, M. Frikel, Said Safi. Spectrum estimation for time-series based on binary data. 2nd International Colloquium on Signal, Automatic Control and Telecommunications, Centre pour la Communication Scientifique Directe, Jun 2020, CAEN, France. pp.326416. ⟨hal-02974048⟩
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