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Keywords: covariance matrix
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Proceedings Papers

Paper presented at the The 34th International Ocean and Polar Engineering Conference, June 16–21, 2024
Paper Number: ISOPE-I-24-151
... or to provide an estimate of the parameters at a buoy that is not working at the time, like for maintenance operations. kernel sustainable development gauge energy artificial intelligence reconstruction covariance matrix social responsibility mare gaussian process regression basin renewable...
Proceedings Papers

Paper presented at the The 32nd International Ocean and Polar Engineering Conference, June 5–10, 2022
Paper Number: ISOPE-I-22-269
... intelligence support anchor unit stratum drilling robot drilling robot deep-sea stratum drilling robot coordinate system denote navigation system rear support anchor unit planning & scheduling evolutionary algorithm anchor unit sensor front support anchor unit covariance matrix positioning...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-2104
... of the signal vector covariance matrix to overcome the deficit of the Bartlett MFP. Well-known methods use the minimum-variance distortionless processor (MVDP), and eigenvector-based MUSIC algorithms (Kolev and Georgiev, 2007). These algorithms produce low sidelobe levels and narrow beamwidths, and hence allows...
Proceedings Papers

Paper presented at the The 28th International Ocean and Polar Engineering Conference, June 10–15, 2018
Paper Number: ISOPE-I-18-221
... A Broadband Bayesian Sparsity Covariance Matrix Array Signal Processing Method Daqian He, Dahai Zhang, Junhua Xing National Key Laboratory on Ship Vibration & Noise, China Ship Development and Design Center Wuhan City, Hubei Province, China ABSTRACT The underwater broadband acoustic signal...
Proceedings Papers

Paper presented at the The Twenty-first International Offshore and Polar Engineering Conference, June 19–24, 2011
Paper Number: ISOPE-I-11-509
... (1933). The key idea of PCA is to represent data set in terms of the minimum number of variables necessary while preserving most of the information present in the data set. PCA defines a projection matrix made up of r vectors, which are the eigenvectors of the covariance matrix associated with the r...
Proceedings Papers

Paper presented at the The Fourteenth International Offshore and Polar Engineering Conference, May 23–28, 2004
Paper Number: ISOPE-I-04-307
... jonswap spectrum sea surface random field gaussian sea anastassia baxevani 1 freak wave relation artificial intelligence co 2 spectrum covariance matrix probability wave height wave period spectra sea surface elevation global maximum Relation between velocities and global maximum...
Proceedings Papers

Paper presented at the The Second International Offshore and Polar Engineering Conference, June 14–19, 1992
Paper Number: ISOPE-I-92-228
... for the modelling of ocean waves (Spanos and Hansen, 1981, and Spanos, 1983). multivariate autoregressive algorithm covariance matrix model order algorithm machine learning spano artificial intelligence spectrum correlation coefficient time series wave data cross correlation power spectral...

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