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Short-time fourier transform of continuous wave doppler signals

机译:连续波多普勒信号的短时傅立叶变换

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摘要

A Doppler-based ultrasonic monitoring scheme was introduced to detect discontinuities on the surface of a rapidly moving object. Single-tone, continuous wave (CW) ultrasound was impinged onto the moving surface and the reflected signal was processed by a Short-Time Fourier Transform (STFT) algorithm to identify surface anomalies. By monitoring the peak magnitude of the STFT spectra within a specified window, it was possible to reconstruct a signal representing Doppler frequency shift continuously in the time domain.
机译:引入了一种基于多普勒的超声监测方案,以检测快速移动物体表面的不连续性。将单音连续波(CW)超声波撞击到移动的表面上,并通过短时傅立叶变换(STFT)算法处理反射信号以识别表面异常。通过监视指定窗口内STFT频谱的峰值幅度,可以在时域中连续重建表示多普勒频移的信号。

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