高阶时频变换理论与应用

非线性信号处理与特征提取是时频信号处理领域中的热点问题。传统时频分析方法受限于海森伯格不确定原则，在分析该类信号时存在较为严重的能量发散问题，导致分辨率不佳，无法为非线性信号处理与特征提取提供精确的时频信息。为改善传统时频分析方法的能量聚集性，提升其时频分辨率，提出了一种高阶同步抽取变换算法，首先计算多个短时傅立叶变换...

High-order Time-frequency Transform Theory and its Applications

Non-stationary signal processing is always a hot topic in the signal processing fields. Traditional time-frequency analysis methods are limited by the Heisenberg uncertainty principle, which cannot provide accurate time information for highly time-varying signals. In order to improve the energy concentration of the time-frequency analysis method, a high-order synchroextracting transform is proposed. By estimating the instantaneous frequency of the signal, the proposed method can characterize the non-stationary characteristics of complex signals. Simulation analysis and experimental analysis verify the performance of the proposed method in time-frequency feature characterization and noise suppression.