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International Journal of Fluid Mechanics Research

Publication de 6  numéros par an

ISSN Imprimer: 2152-5102

ISSN En ligne: 2152-5110

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.1 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.0002 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.33 SJR: 0.256 SNIP: 0.49 CiteScore™:: 2.4 H-Index: 23

Indexed in

Statistical Estimation of the Acoustic Parameters of a Human Respiratory Tract

Volume 28, Numéro 6, 2001, 16 pages
DOI: 10.1615/InterJFluidMechRes.v28.i6.60
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RÉSUMÉ

The paper addresses a statistical approach for handling the problem of estimation of the acoustic parameters of a human respiratory tract. Synthesis and analysis of the estimation algorithms under complicated interference conditions accounting the presence of the heart's tones are performed. It is shown that the interference of the heart's tones can be suppressed through the use of compensating channels formed with the view of the correlation characteristics of interference in the frequency or time domains. The basic procedures of input signal processing and the ways of acquiring the data required for their execution are determined. Potential efficiency of the algorithms for a number of models of the space correlation functions of the breath noise sources is examined. It is noted that, at large values of the ratio "signal/interference", the variance of estimations of acoustic parameters to be measured is of low sensitivity to modification of the form of the space correlation function of the breath noise sources. The results of experimental research aimed at estimation of the sound speed in the lung parenchyma are presented. The algorithm developed in the paper is shown to provide the unbiased estimate of the sound speed, being in concord with the known experimental data for the lung parenchyma.

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