ISSN:
1741-0444
Keywords:
Autoregressive modelling
;
Doppler blood flow signal
;
Fourier transform
;
Spectrum analysis
;
Velocity distribution
Source:
Springer Online Journal Archives 1860-2000
Topics:
Biology
,
Chemistry and Pharmacology
,
Medicine
Notes:
Abstract The spectral analysis of Doppler blood flow velocity signals enjoys wide-spread interest owing to the exhaustive information on the signal which it yields. The discrete Fourier transform is the most extensively used method of analysis. However, the statistical stability of such analysis is poor; spectral smoothing, which improves the statistical stability, also results in greater width and poorer resolution of the spectrum. Autoregressive modelling has been found to give better results when analysing small sample volumes obtained from a pulsed velocimeter (narrow spectrum), even for short data lengths.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF02443356
