论文标题
超新星重力波的重建波形：比较三个时频变换方法
Reconstruction of Supernova Gravitational Waves Waveforms: Comparing Three Time-frequency Transform Methods
论文作者
论文摘要
对于打算重建超新星引力波的超新星引力波信号分析，我们比较了短期傅立叶变换（STFT）的性能，同步脱接的变换（SET）和Multyynchrosqueeezing Transform（MSST）通过基于自相关的基于基于时间连续性分析的管道管道。注入白噪声中的模拟超新星波形通过时频图中的层次聚类方法鉴定出来，然后由反向时频变换重建。我们发现，在信号重建方面，设置方法在重建信号噪声比时从具有白噪声的数据中重建信号时，尤其是传统的STFT方法要好得多。关于时间频率数字的质量，MSST方法和集合方法的能量分散较少，并且都比STFT方法更好。 STFT时频率的较高能量分散在聚类过程中耗时，并降低了信号识别的准确性。我们的初步结论是，尽管需要更多的测试，但设定方法是超新星重力波信号分析管道的合适方法。
For supernovae gravitational wave signal analysis which intend to reconstruct supernova gravitational waves waveforms, we compare the performance of short-time Fourier transform (STFT), the synchroextracting transform (SET) and multisynchrosqueezing transform (MSST) by a self-consistent time-frequency analysis based pipeline. The simulated supernovae waveforms injected into white noise are identified by a hierarchical clustering method in the time-frequency map and then reconstructed by the inverse time-frequency transforms. We find that in terms of signal reconstruction, the SET method performed the best, especially much better than traditional STFT method in reconstructing signals from data with white noise when valued the signal-to-noise ratio. While concerning the quality of time-frequency figures, the MSST method and SET method have less energy dispersion and were both better than STFT method. The higher energy dispersion in time-frequency figure of STFT is time consuming in the clustering process and reduce the accuracy of signal identification. Our preliminary conclusion is that the SET method is the suitable method for the supernovae gravitational wave signal analysis pipeline though more tests are stilled needed.
