Averbuch Gil
Roy M. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, Texas 75205, USA.
J Acoust Soc Am. 2021 Feb;149(2):747. doi: 10.1121/10.0003384.
A smeared spectrogram is a result of the smoothing kernel in the short-time Fourier-transform (STFT). Besides the smeared energy, time and frequency phase information is also smeared, i.e., spectral components may contain imprecise phase information. The STFT is also used as the basis for more advanced signal processing techniques such as frequency-domain beamforming and cross correlation (CC). Both methods seek the delay time between signals by exploring phase-shifts in the frequency domain. Due to the inexact phase information in some of the time-frequency elements, their phase shifts are incorrect. This study re-introduces the reassigned spectrogram (RS) as a measure to fix the STFT artifacts. Moreover, it is shown that by using the RS, phase shifts can be optimized and improve beamforming and CC results. Synthetic and recorded data are used to show the advantage of using the RS in time-frequency analysis, CC, and beamforming. Results show that, subject to certain constraints, the RS provides exact time-frequency representation of deterministic signals and significantly improve CC and beamforming results. Array analysis of infrasonic signals shows that better results are obtained by either the RS- or STFT-based analysis depending on the signals' spectral components and noise levels.
模糊频谱图是短时傅里叶变换(STFT)中平滑核的结果。除了能量模糊外,时间和频率相位信息也会被模糊,即频谱成分可能包含不精确的相位信息。STFT还用作更先进的信号处理技术(如频域波束形成和互相关(CC))的基础。这两种方法都通过探索频域中的相移来寻找信号之间的延迟时间。由于某些时频元素中的相位信息不准确,它们的相移是不正确的。本研究重新引入重分配频谱图(RS)作为一种修复STFT伪影的方法。此外,研究表明,通过使用RS,可以优化相移并改善波束形成和CC结果。合成数据和记录数据用于展示在时频分析、CC和波束形成中使用RS的优势。结果表明,在一定约束条件下,RS能提供确定性信号的精确时频表示,并显著改善CC和波束形成结果。次声信号的阵列分析表明,根据信号的频谱成分和噪声水平,基于RS或STFT的分析都能获得更好的结果。