Title :
Correction for nonstationarity and window broadening in Doppler spectrum estimation
Author :
Wang, Yuanyuan ; Fish, Peter J.
Author_Institution :
Sch. of Electron. Eng. Sci., Univ. of Wales Coll. of Cardiff, UK
Abstract :
The width of the time-varying spectrum of signals from the pulsed Doppler ultrasonic blood flow detector is overestimated as a result of window and nonstationarity broadening when analyzed using the conventional short-term Fourier transform (STFT). By deriving the broadening function width from a consideration of signal phase variation arising from the deterministic spectral center-frequency variation during each window, the increase In the root-mean-squared (RMS) spectral width can be calculated and the spectral width estimation corrected. Using this procedure on simulated Doppler signals of known characteristics, a significant reduction in spectral width estimation error can be demonstrated.
Keywords :
Doppler broadening; Doppler measurement; biomedical ultrasonics; blood flow measurement; fast Fourier transforms; medical signal processing; parameter estimation; signal detection; spectral analysis; Doppler spectrum estimation; RMS spectral width; broadening function width; deterministic spectral center-frequency variation; estimation error; nonstationarity broadening; pulsed Doppler ultrasonic blood flow detector; root-mean-squared spectral width; signal phase variation; simulated Doppler signals; time-varying spectrum; window broadening; Biomedical engineering; Blood flow; Fourier transforms; Frequency estimation; Marine animals; Pulse measurements; Random variables; Scattering; Signal analysis; Spectral analysis;
Journal_Title :
Signal Processing Letters, IEEE