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This paper proposed a discriminant analysis method to realize the auto matching of shear spectra and improve the precision of the shear turbulence data. The discriminant analysis method includes two parts, firstly, in order to eliminate noise data, cross validation method is used to data preprocessing, and secondly, maximum likelihood method is used to get discriminant function to realize the auto matching of the spectra. South China Sea experiment is used to verify the validity of the method. c ©2015 All rights reserved.

Applications of discriminant analysis on shear turbulence data in wavenumber domain