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Content Provider | IEEE Xplore Digital Library |
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Author | Lymberis, A. |
Copyright Year | 1989 |
Description | Author affiliation: INSERM, Paris, France (Lymberis, A.) |
Abstract | Two methods for mean frequency estimation that try to improve the compromise between variance on the estimation of this parameter and the analyzed tissue volume are described. In one method the centroid of the spectrum is obtained by parametric analysis, using autoregressive modeling of the simulated signal. The other method is an implementation of a mean-frequency estimator derived from the available autocorrelation logs of the simulated signal. The methods are applied to signals downconverted to baseband. The results are compared with those obtained by the zerocrossing detector, the centroid of the FFT-based spectra of RF and demodulated signals, and the color Doppler estimator. The results show good estimation precision (1.3-8%) with the present approaches for both small and large windows. The methods with which they are compared exhibit higher dispersion (4-66.6%), especially for small windows.< |
Starting Page | 687 |
Ending Page | 688 |
File Size | 106791 |
Page Count | 2 |
File Format | |
DOI | 10.1109/IEMBS.1989.95933 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1989-11-09 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Frequency estimation Attenuation Parameter estimation Analysis of variance Signal analysis Analytical models Autocorrelation Baseband Detectors Radio frequency |
Content Type | Text |
Resource Type | Article |
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