计算机科学
瞬时相位
时频分析
信号(编程语言)
高分辨率
分辨率(逻辑)
区间(图论)
算法
人工智能
数学
计算机视觉
遥感
滤波器(信号处理)
组合数学
地质学
程序设计语言
出处
期刊:Applied sciences
[Multidisciplinary Digital Publishing Institute]
日期:2021-12-10
卷期号:11 (24): 11760-11760
被引量:2
摘要
Synchrosqueezing transform (SST) can effectively improve time-frequency precision and resolution by squeezing time-frequency spectra via instantaneous frequencies, and it has been applied in many diverse disciplines; however, the precision of estimated instantaneous frequencies during SST is usually affected by the time-sample interval of the inputted signal; this usually leads to low-precision or inaccurate SST results and limits its further application. To obtain high-precision and high-resolution SST results with high efficiency, we propose a high-precision and high-resolution SST via time-frequency instantaneous phases (HSST); in HSST, time-frequency instantaneous phases with period-jumps removal are used for high-precision instantaneous frequencies estimation and SST. Two synthetic signal examples show that HSST can minimize the impact of the time-sample interval to achieve high-precision and high-resolution SST results with high efficiency. A real 3D seismic data application demonstrates that HSST has fantastic performance in time-frequency precision and resolution enhancement, and it can be widely used in digital signals processing and interpretation fields.
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