Abstract
The analytic decomposition of ocean waves into a mixture of wave trains with different travel directions and frequencies is based on cross-spectral analysis of time measurements of multiple wave properties. The Norwegian government, with funding by the Chevron Oil Field Research Company, is planning an extensive comparison of various systems for producing the ocean wave decompositions from wave data collected on a North Sea offshore platform. The comparisons will involve both instrumentation and analysis systems.
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References
Baggeroer, A. B. (1976a) Confidence intervals for regression (MEM) spectral estimates, IEEE Trans. Inf. Theory IT-22, 534–545.
Baggeroer, A. B. (1976b) Space/Time Random Processes and Optimum Array Processing, Rept. NUC TP 506, Dept. Ocean Eng., MIT, Cambridge, Mass.
Baggeroer, A. B. (1979) Recent advances in spectral and directional wave spectra analysis and their application to offshore structures, Conference on Behaviour of Offshore Structures, London.
Borgman, L. E. (1970) Directional spectra from wave sensors, Ocean Wave Climate, 88, 269–300, Marine Science Series (New York: Plenum Press ).
Borgman, L. E. (1982) Techniques for computer simulation of ocean waves, Topics in Ocean Physics (Bologna, Italy: Italian Physical Society ), pp. 387–417.
Borgman, L. E., and Yfantis, E. (1979) Three-dimensional character of waves and forces, Proc. Civil Engineering in the Oceans, Vol. 4 ( New York: American Society of Civil Engineers ), pp. 791–804.
Clarke, D., and Gedling, P. (1981) MLM estimation of directional wave spectra, Proc. Directional Wave Spectra Applications ( New York: American Society of Civil Engineers ), pp. 21–41.
Davis, R. E., and Regier, L. A. (1977) Methods for estimating directional wave spectra from multi-element arrays, J. Mar. Res. 35, 453–477.
Dean, R. G. (1981) The NRC workshop on wave measurement technology, Proc. Directional Wave Spectra Applications ( New York: American Society of Civil Engineers ), pp. 220–232.
Goda, Yoshimi (1981) Simulation in examination of directional resolution, Proc. Directional Wave Spectra Applications ( New York: American Society of Civil Engineers ), pp. 387–406.
Jeffreys, E. R., Wareham, G. T., Ramsden, N. A., and Platts, M. J. (1981) Measuring direction spectra with the MLM, Proc. Directional Wave Spectra Applications ( New York: American Society of Civil Engineers ), pp. 203–218.
Kay, S. M., and Marple, S. L., Jr. (1981) Spectrum analysis—a modern perspective, Proc. IEEE 69, 1380–1419.
Long, R. B. (1980) The statistical evaluation of directional spectrum estimates derived from pitch/roll buoy data, J. Phys. Oceanog. 10, 944–952.
Long, R. B., and Hasselmann, K. (1979) A variational technique for extracting directional spectra from multicomponent wave data, J. Phys. Oceanog. 9, 373–381.
Oakley, O. H. (1973) Directional wave spectra measurements and analysis systems, Proc. 20th Anniversary of the Pierson-St. Denis Paper, Webb Institute of Naval Architecture, Soc. Naval Arch. and Mar. Eng.
Oakley, O. H., and Lozow, J. B. (1977) The Resolution of Directional Wave Spectra Using the Maximum Likelihood Method, Rept. 77–1, Dept. of Ocean Eng., MIT, Cambridge, Mass.
Regier, L. A., and Davis, R. E. (1977) Observations of power and directional spectrum of ocean surface waves, J. Mar. Res. 35, 433–451.
Rustagi, J. S. (1976) Variational Methods in Statistics ( New York: Academic Press ), pp. 36–38.
Webster, W. C., and Dillingham, J. T. (1981) Directional seaway determined from ship motions, Proc. Directional Wave Spectra Applications ( New York: American Society of Civil Engineers ), pp. 1–19.
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Borgman, L.E. (1985). Maximum-Entropy and Data-Adaptive Procedures in the Investigation of Ocean Waves. In: Smith, C.R., Grandy, W.T. (eds) Maximum-Entropy and Bayesian Methods in Inverse Problems. Fundamental Theories of Physics, vol 14. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2221-6_21
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DOI: https://doi.org/10.1007/978-94-017-2221-6_21
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