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Este Cmap, tiene información relacionada con: Discrete Fourier Transform (DFT), Patterns without strong local edge features such as fine-grained patterns, preprocessing which removes Geologic and perspective tilting, power spectra images examined with Discrete Fourier Transform (DFT), power spectra methods include power spectra images, power spectra images related to local image content, difficulties in analysis of Patterns without strong local edge features, methods ?? which can find other interesting features, power spectra images undergoes preprocessing, Discrete Fourier Transform (DFT) applied at several scales, Patterns without strong local edge features such as rippled sedimentary pattersn, methods ?? which can find horizon, signal made up of component sine waves, power spectra methods include Discrete Fourier Transform (DFT), Discrete Fourier Transform (DFT) decomposes signal, power spectra images show compact vertically elogated artifacts, compact vertically elogated artifacts can be used as crude classifier, methods ?? which have difficulties, power spectra images analyzed with methods ??, Discrete Fourier Transform (DFT) provides amplitude information, Patterns without strong local edge features such as sandstone