Wigner-Ville distribution and Gabor transform in Doppler ultrasound signal processing.
Sedigheh Ghofrani, Ahmad Ayatollahi, Shamsollahi Mb
Abstract
Sedigheh Ghofrani, Ahmad Ayatollahi, Shamsollahi Mb
Abstract
Time-frequency distributions have been used extensively for nonstationary signal analysis, they describe how the frequency content of a signal is changing in time. The Wigner-Ville distribution (WVD) is the best known. The draw back of WVD is cross-term artifacts. An alternative to the WVD is Gabor transform (GT), a signal decomposition method, which displays the time-frequency energy of a signal on a joint t-f plane without generating considerable cross-terms. In this paper the WVD and GT of ultrasound echo signals are computed analytically.
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Time-frequency distributions have been used extensively for nonstationary signal analysis, they describe how the frequency content of a signal is changing in time. The Wigner-Ville distribution (WVD) is the best known. The draw back of WVD is cross-term artifacts. An alternative to the WVD is Gabor transform (GT), a signal decomposition method, which displays the time-frequency energy of a signal on a joint t-f plane without generating considerable cross-terms. In this paper the WVD and GT of ultrasound echo signals are computed analytically.
Key concepts: Gabor transform, Time–frequency analysis, SIGNAL (programming language), Wigner distribution function, Signal processing, Energy (signal processing), Computer science, Doppler effect