English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

For supernovae gravitational wave signal analysis which intend to reconstructsupernova gravitational waves waveforms, we compare the performance ofshort-time Fourier transform (STFT), the synchroextracting transform (SET) andmultisynchrosqueezing transform (MSST) by a self-consistent time-frequencyanalysis based pipeline. The simulated supernovae waveforms injected into whitenoise are identified by a hierarchical clustering method in the time-frequencymap and then reconstructed by the inverse time-frequency transforms. We findthat in terms of signal reconstruction, the SET method performed the best,especially much better than traditional STFT method in reconstructing signalsfrom data with white noise when valued the signal-to-noise ratio. Whileconcerning the quality of time-frequency figures, the MSST method and SETmethod have less energy dispersion and were both better than STFT method. Thehigher energy dispersion in time-frequency figure of STFT is time consuming inthe clustering process and reduce the accuracy of signal identification. Ourpreliminary conclusion is that the SET method is the suitable method for thesupernovae gravitational wave signal analysis pipeline though more tests arestilled needed.

Reconstruction of Supernova Gravitational Waves Waveforms: Comparing Three Time-frequency Transform Methods