Complex Principal Component Analysis of Seasonal Variation in Nearshore Bathymetry

Liang, Guoxiong; White, Thomas E.; Seymour, Richard J.

doi:10.1061/9780872629332.171

Cited by 2 publications

(2 citation statements)

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“…The real part of the complex matrix is the original set of data, while the complex part is the Hilbert transform of the real part [6]. The complex data set can be represented as follows:…”

Section: B Ceof Analysismentioning

confidence: 99%

“…Now the analysis can detect both standing and propagating wave features in the data, whereas conventional EOF analysis could only detect standing wave patterns [4]. Besides being able to detect propagating wave patterns, CEOF analysis uses the "extra" phase information to create a more compact description of the data [6]. In other words it compresses the total variance into a smaller number of modes.…”

Section: B Ceof Analysismentioning

confidence: 99%

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Examination of Bioluminescent Excitation Responses Using Empirical Orthogonal Function Analysis

Davis

Thosteson²,

Frey³

et al.

Proceedings of OCEANS 2005 MTS/IEEE

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Bioluminescent intensities were measured August 30 th -September 4 th , 2004 in the Gulf of Maine with the HIDEX III Bathyphotometer. Empirical Orthogonal Function (EOF) analysis and Complex Empirical OrthogonalFunction (CEOF) analysis were applied to these data sets in order to determine a unique excitation response for each species of bioluminescent organism encountered in the data sets. Using the results of the analysis, a filter was designed for real-time identification of dinoflagellates.

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“…The real part of the complex matrix is the original set of data, while the complex part is the Hilbert transform of the real part [6]. The complex data set can be represented as follows:…”

Section: B Ceof Analysismentioning

confidence: 99%

Section: B Ceof Analysismentioning

confidence: 99%