Synchrosqueezing transform (SST) is an effective post-processing time-frequency analysis
(TFA) method in mechanical signal processing. It improves the concentration of the time …

Time–frequency analysis (TFA) is widely used to describe local time–frequency (TF) features
of seismic data. Among the commonly used TFA tools, sparse TFA (STFA) is an excellent …

Synchrosqueezing transform (SST) can effectively improve the readability of the time-
frequency (TF) representation (TFR) of nonstationary signals composed of multiple …

Achieving a proper time-frequency (TF) resolution is the key to extract information from
seismic data using TF algorithms and characterize reservoir properties using decomposed …

The time–frequency (TF) analysis is an effective tool in seismic signal processing. The
sparsity-based TF transforms have been widely used to obtain high localized TF …

The S transform (ST) is one of the most commonly used time-frequency (TF) analysis
algorithms and is commonly used in assisting reservoir characterization and hydrocarbon …

In this letter, a new method is introduced for a seismic time-frequency (TF) analysis. The
proposed method is called synchrosqueezing generalized S-transform (SSGST), which …

A good number of researchers investigated the impact of flow modification on hydrological,
ecological, and geomorphological conditions in a river. A few works also focused on …

Due to the electrical, thermal, and mechanical stress, the insulating materials of cable
undergo a slow aging process in service, which leads to the decline of insulation …

This paper considers the analysis of impulsive-like signals whose time-frequency ridge
curves are nearly perpendicular to the time axis. Although the instantaneous frequency of …