The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Kami membentangkan kaedah baharu untuk menganggar peralihan spektrum isyarat tidak pegun dalam kes nisbah isyarat-ke-bunyi (SNR) rendah. Daripada fungsi asas yang digunakan dalam pemodelan autoregresif (AR) perubahan masa yang dicadangkan sebelum ini, kami memperkenalkan kekangan peralihan spektrum ke dalam fungsi kos yang diterangkan oleh pekali korelasi separa (PARCORR) supaya kaedah itu boleh digunakan untuk isyarat tidak pegun yang bising. corak peralihan spektrum adalah kompleks. Dengan menggunakan kaedah ini untuk analisis isyarat getaran pada septum interventrikular (IVS) jantung, diukur secara noninvasif oleh kaedah baru yang dibangunkan di makmal kami menggunakan ultrasonik, corak peralihan spektrum diperoleh dengan jelas semasa satu kitaran jantung untuk subjek normal dan pesakit dengan kardiomiopati.
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Salinan
Hiroshi KANAI, Yoshiro KOIWA, "PARCORR-Based Time-Dependent AR Spectrum Estimation of Heart Wall Vibrations" in IEICE TRANSACTIONS on Fundamentals,
vol. E82-A, no. 4, pp. 572-579, April 1999, doi: .
Abstract: We present a new method for estimation of spectrum transition of nonstationary signals in cases of low signal-to-noise ratio (SNR). Instead of the basic functions employed in the previously proposed time-varying autoregressive (AR) modeling, we introduce a spectrum transition constraint into the cost function described by the partial correlation (PARCORR) coefficients so that the method is applicable to noisy nonstationary signals of which spectrum transition patterns are complex. By applying this method to the analysis of vibration signals on the interventricular septum (IVS) of the heart, noninvasively measured by the novel method developed in our laboratory using ultrasonics, the spectrum transition pattern is clearly obtained during one cardiac cycle for normal subjects and a patient with cardiomyopathy.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e82-a_4_572/_p
Salinan
@ARTICLE{e82-a_4_572,
author={Hiroshi KANAI, Yoshiro KOIWA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={PARCORR-Based Time-Dependent AR Spectrum Estimation of Heart Wall Vibrations},
year={1999},
volume={E82-A},
number={4},
pages={572-579},
abstract={We present a new method for estimation of spectrum transition of nonstationary signals in cases of low signal-to-noise ratio (SNR). Instead of the basic functions employed in the previously proposed time-varying autoregressive (AR) modeling, we introduce a spectrum transition constraint into the cost function described by the partial correlation (PARCORR) coefficients so that the method is applicable to noisy nonstationary signals of which spectrum transition patterns are complex. By applying this method to the analysis of vibration signals on the interventricular septum (IVS) of the heart, noninvasively measured by the novel method developed in our laboratory using ultrasonics, the spectrum transition pattern is clearly obtained during one cardiac cycle for normal subjects and a patient with cardiomyopathy.},
keywords={},
doi={},
ISSN={},
month={April},}
Salinan
TY - JOUR
TI - PARCORR-Based Time-Dependent AR Spectrum Estimation of Heart Wall Vibrations
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 572
EP - 579
AU - Hiroshi KANAI
AU - Yoshiro KOIWA
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E82-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 1999
AB - We present a new method for estimation of spectrum transition of nonstationary signals in cases of low signal-to-noise ratio (SNR). Instead of the basic functions employed in the previously proposed time-varying autoregressive (AR) modeling, we introduce a spectrum transition constraint into the cost function described by the partial correlation (PARCORR) coefficients so that the method is applicable to noisy nonstationary signals of which spectrum transition patterns are complex. By applying this method to the analysis of vibration signals on the interventricular septum (IVS) of the heart, noninvasively measured by the novel method developed in our laboratory using ultrasonics, the spectrum transition pattern is clearly obtained during one cardiac cycle for normal subjects and a patient with cardiomyopathy.
ER -