Deconvolutive Improved S Transform and Its Application in Hydrocarbon Detection

Seismic signals are usually non-linear and non-stationary. The Fourier transform based on stationary signal processing theory cannot depict the frequency components at any moment. However, the time-frequency analysis (TFA) methods have the capability of describing the partial features of signal both...

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Vydané v:	IEEE transactions on geoscience and remote sensing Ročník 61; s. 1
Hlavní autori:	Wu, Xuefeng, Zhang, Huixing, He, Bingshou
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Aggregation Bias Data analysis Data processing Deconvolution Detection Drilling Energy resolution Fourier transforms Frequency analysis frequency correction Frequency dependence Frequency distribution hydrocarbon detection Hydrocarbons improved S transform (IST) Methods Noise robustness Parameters Resolution Signal processing Signal resolution Time-frequency analysis time–frequency analysis (TFA) Transforms Window functions
ISSN:	0196-2892, 1558-0644
On-line prístup:	Získať plný text
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