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Seismic data compression: a comparative study between GenLOT and wavelet compression

机译:地震数据压缩:GenLOT和小波压缩的比较研究

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Abstract: Generalized Lapped Orthogonal Transform based image coder is used to compress 2D seismic data sets. Its performance is compared to the results using wavelet-based image coder. Both algorithms use the same state-of-the-art zerotree coding for consistency and fair comparison. Several parameters such as filter length and objective cost function are varied to find the best suited filter banks. It is found that for raw data, filter bank with long overlapping filters should be used for processing signals along the time direction whereas filter bank with short filters should be used for processing signal along the distance direction. This combination yields the best results.!15
机译:摘要:基于广义重叠正交变换的图像编码器用于压缩二维地震数据集。使用基于小波的图像编码器将其性能与结果进行比较。两种算法都使用相同的最新零树编码,以实现一致性和公平的比较。可以更改几个参数(例如滤波器长度和目标成本函数),以找到最合适的滤波器组。已经发现,对于原始数据,应使用具有长重叠滤波器的滤波器组来处理沿时间方向的信号,而应使用具有短滤波器的滤波器组来处理沿距离方向的信号。此组合产生最佳结果。!15

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