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Multiscale correlation analysis of nonstationary signals containing quasi-periodic fragments

  • Theory and Methods of Signal Processing
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Abstract

Processing of complex nonstationary signals, in particular, their structuring, is considered. The problem of detection of quasi-periodic fragments and determination of the quasi-periodicity parameters is discussed. A multiscale time-and-time representation of the nonstationary signals is introduced on the basis of the selected distribution of the correlation type, and the characteristic features of the representation are discussed. Fast realizations of algorithms for calculation of distributions are considered, and the types of window functions allowing fast algorithms are determined. Examples of processing and representation of real biological (cardiographic, encephalographic, and voice) signals are presented.

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Authors
  1. V. E. Antsiperov
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Original Russian Text © V.E. Antsiperov, 2008, published in Radiotekhnika i Elektronika, 2008, Vol. 53, No. 1 pp. 73–85.

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Antsiperov, V.E. Multiscale correlation analysis of nonstationary signals containing quasi-periodic fragments. J. Commun. Technol. Electron. 53, 65–77 (2008). https://doi.org/10.1134/S1064226908010099

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  • DOI: https://doi.org/10.1134/S1064226908010099

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