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Abstract:
A method is provided for calculating a class-specific iterated subspace for a classification system utilized in a computing system. Training data in the specific class for the class-specific iterated subspace is collected. A linear orthogonal transform is applied transforming the data into at least one bin. Magnitude squared bins are calculated and used as columns of a matrix. Orthonormal vectors of this matrix are selected and a J function is calculated. The J function and orthonormal starting vectors are used to obtain the class-specific iterated subspace for each class. The method further applies these class-specific iterated subspaces in a classification system for determining the most likely class of a data signal of interest.
| Limitations: |
 APPROVED FOR PUBLIC RELEASE |
| Description: |
Patent application, Filed 30 Dec 2009 |
| Pages: |
25 |
| Report Date: |
30 Dec 2009 |
| Report Number: |
D624020 |
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