用Gabo:展開進行地震數(shù)據(jù)的濾波
SEISMIC DATA DENOISING WITH FAST GABOR REPRESENTATIONS
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摘要: Gabor展開是用一組在時域及頻域都局部化且具有能量集中性質(zhì)的函數(shù)來展開信號,這種特征使得Gabor展開適于處理那些時間無關(guān)或非平穩(wěn)的信號。利用框架理論,類似于SVD特征映像濾波方法,本文用Gabor展開濾波方法來進行地震信號的去噪處理。仿真結(jié)果顯示出Gabor展開濾波方法的優(yōu)越性。
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關(guān)鍵詞:
- Gabor展開; 濾波; 地震數(shù)據(jù)
Abstract: Gabor representations are signal expansion using sets of functions that are localized and concentrated in time and frequency domain. This characteristic makes them be suitable for processing time-dependent or nonstationary signal. It is shown that Gabor representations formulated with frame theory can be used to remove noise from seismic data. The simulation shows that Gabor representations filtering techniques can outperform SVD eigenimage filtering techniques in the removal of noise. -
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