A021 Compression Denoising: Using Seismic Compression for Uncoherent Noise Removal
نویسنده
چکیده
Several authors, e. g. Vermeer et al. [1996], have recently recognized that wavelets may not be the best fit for seismic data since they present large-scale oscillations. They have therefore investigated for instance wavelet packets, local cosine or Gabor transforms. We focus here on filter banks (FB), which can be regarded as a multichannel generalization of wavelets [Duval and Røsten, 2000]. Instead of iterating one low-pass and one high-pass filter, we directly use a FB composed of M > 2 band-pass filters. The signal is decomposed into localized time-frequency coefficients, which are processed according to the target purpose (i. e. denoising or compression).
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