. Description, analysis and predictions of sea floor roughness using spectral models. Ocean bottom; Submarine geology. 0 10'i ^10° CO S 10-^ o UJ N <io--l 10-'- 10-4 10- 4 6 8 10 DISTANCE (KILOMETERS) 12 CORREaED. PREWHITENED 10-' 10° 10' FREQUENCY (CYCLES/KILOMETER) 10^ Figure 5-1 Illustration of the Importance of prewhitening of amplitude spectra. The raw spectrum Is the result obtained by simply performing a spectral analysis on raw data. The prewhitened spectrum 1s the result of. performing the same analysis on data which has been convolved with a special high-pass fil- ter. The correct
. Description, analysis and predictions of sea floor roughness using spectral models. Ocean bottom; Submarine geology. 0 10'i ^10° CO S 10-^ o UJ N <io--l 10-'- 10-4 10- 4 6 8 10 DISTANCE (KILOMETERS) 12 CORREaED. PREWHITENED 10-' 10° 10' FREQUENCY (CYCLES/KILOMETER) 10^ Figure 5-1 Illustration of the Importance of prewhitening of amplitude spectra. The raw spectrum Is the result obtained by simply performing a spectral analysis on raw data. The prewhitened spectrum 1s the result of. performing the same analysis on data which has been convolved with a special high-pass fil- ter. The corrected spectrum results from the quotient of the prewhitened spectrum and the frequency spectrum of the high-pass filter, and represents an estimate of the spectrum of the corresponding Infinite signal from which the sample data was derived. 51. Please note that these images are extracted from scanned page images that may have been digitally enhanced for readability - coloration and appearance of these illustrations may not perfectly resemble the original Fox, Christopher Gene; United States. Naval Oceanographic Office. Bay St. Louis, Miss. : Naval Oceanographic Office
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Keywords: ., bookcentury1900, bookcollectionbiodivers, booksubjectoceanbottom
