Description: For feature reduction, feature fusion, correlation analysis, Using MATLAB compressed sensing, The final weight matrix is ??the filter coefficient, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, High-resolution array signal processing estimates, It draws on principal component analysis algorithm (PCA).
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