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In the field of signal processing, the newly developed technique, Frequency Sweep Rate-Based Signal Decomposition (FSRBSD), effectively addresses the challenges associated with analyzing nonstationary signals. Traditional methods such as the synchrosqueezing transform (SST) and time-reassigned transform (TSST) have demonstrated utility within their respective domains, yet they falter when tasked with the concurrent estimation of instantaneous frequency and group delay. FSRBSD introduces an innovative frequency sweep rate discrimination criterion that adeptly separates harmonic and impulsive components within signals. Comprehensive analyses utilizing numerical simulations and real signal data have confirmed FSRBSD’s superior performance, marking a significant advancement in signal processing capabilities.

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Frequency Sweep Rate-Based Signal Decomposition

  • 会议论文

  • 发表日期：

    2026年

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  • Ao. Ran. Wang,
  • Gang. Yu,
  • Wen. Kai. Wang

摘要

In the field of signal processing, the newly developed technique, Frequency Sweep Rate-Based Signal Decomposition (FSRBSD), effectively addresses the challenges associated with analyzing nonstationary signals. Traditional methods such as the synchrosqueezing transform (SST) and time-reassigned transform (TSST) have demonstrated utility within their respective domains, yet they falter when tasked with the concurrent estimation of instantaneous frequency and group delay. FSRBSD introduces an innovative frequency sweep rate discrimination criterion that adeptly separates harmonic and impulsive components within signals. Comprehensive analyses utilizing numerical simulations and real signal data have confirmed FSRBSD’s superior performance, marking a significant advancement in signal processing capabilities.