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 …

Seismic coherence is of the essence for seismic interpretation as it highlights seismic
discontinuity features caused by the deposition process, reservoir boundaries, tectonic …

With the success of Vision Transformer (ViT), Transformer is being increasingly used for
hyperspectral image (HSI) classification given its ability to extract global context …

Time-frequency (TF) transforms are commonly used to analyze local features of
nonstationary seismic data and to help uncover structural or geologic information …

Sparse coding (SC) has been proven effective in various geological tasks, such as seismic
time–frequency (TF) analysis and seismic reflection inversion. Nevertheless, it inevitably has …

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 …

Highlights•A mixed decomposition method using VMD and generalized S-transform is
proposed.•An improved SSA algorithm based on chaotic cloud (CC-SSA) is proposed.•The …

Time–frequency analysis methods can be used to characterize the time-varying
characteristics of a signal. The postprocessing algorithm further enhances this ability. The …

Since distribution networks have multiple branches, complex topologies and increasing
penetration of the distributed energy resources (DERs), the accurate fault location is difficult …

Synchrosqueezing transform (SST) is an effective time-frequency analysis (TFA) approach
for the processing of nonstationary signals. The SST shows a satisfactory ability of the TF …