| Autor: |
Li Jiang, Wenqing Shang, Yudong Jiao, Shizhao Xiang |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
IEEE Access, Vol 10, Pp 127863-127870 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2022.3227426 |
| Popis: |
As a powerful method in signal processing, time-frequency analysis shows the characteristics of signals in the form of a joint domain distribution of time and frequency. The S-transform is one of the most effective and frequently used algorithms for time-frequency analysis of seismic signals. To address the problems of fixed time window, such as single time-frequency resolution and poor energy aggregation, an adaptive generalized S-transform algorithm is proposed. In this method, we designed a new generalized Gaussian window function with four variable parameters to obtain the optimal time-frequency distribution. The proposed window function uses time-frequency aggregation as the objective function for parameter optimization. Combined with the calculation results of the time-frequency aggregation and time-frequency distribution, we proved that the proposed method has a satisfactory analysis effect and anti-noise performance. In addition, a simulation experiment of the seismic signal is carried out using this algorithm, and the results show that the proposed adaptive generalized S-transform enhances the time-frequency resolution and energy aggregation in seismic signal analysis. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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