Denoising of seismic signals with oversampled filter banks
Denoising of seismic signals with oversampled filter banks
复制标题
使用过采样滤波器组对地震信号进行去噪
DOI：
10.1109/icassp.2003.1201650
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
Toshihisa Tanaka
中科院分区：
文献类型：
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作者：
L. Duval;Toshihisa Tanaka
在降噪等多种应用中，当信号扩展并不重要时，过采样滤波器组的性能可能优于严格抽取的滤波器组。我们研究了最近提出的 GLPBT（广义重叠伪双正交变换）（一类过采样滤波器组）在地震数据中使用受控冗余去除噪声的性能。我们还研究了选择最佳阈值的启发式方法，该阈值似乎很大程度上取决于噪声方差。测试表明，精心设计的过采样滤波器组能够优于临界采样滤波器组。
In several applications such as denoising, when signal expansion is not crucial, oversampled filter banks may outperform critically decimated filter banks. We study the performance of the recently proposed GLPBT (Generalized Lapped Pseudo-Biorthogonal Transform), a class of oversampled filter banks, on noise removal in seismic data, using controlled redundancy. We also investigate heuristics for the choice of an optimal threshold, which appears to depend non-trivially on the noise variance. Tests indicate that carefully designed oversampled filter banks are able to outperform critically sampled ones.