Reducing the pressure on data acquisition and processing: II – Data-driven compression using conic coding
Ikelle, L.T. and Sturzu, I., 2009. Reducing the pressure on data acquisition and processing: II - Data-driven compression using conic coding. Journal of Seismic Exploration, 18: 119-133. We here propose a compression method that we characterize as data-driven compression because it is based on transforms which are data-dependent instead of generic mathematical transforms like wavelet transforms. Furthermore, our data-driven compression can be used in cascaded form with existing arithmetic data-compression methods (that is, a data-driven compression followed by an arithmetic data-compression method) because our data-compression method is based on accuracy, whereas arithmetic data-compression methods are based on precision. Such a cascade application of compression techniques can increase the compression ratio to 100:1 or more.
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