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US08150195B2 Adaptive prediction using a dimensionality reduction process 失效
使用维数降低过程的自适应预测

Adaptive prediction using a dimensionality reduction process
Abstract:
Multi-field taps are defined based on a decimated field. The multi-field taps are used to generate correlation matrices, the elements of which are used to generate covariance matrices. A principal component space is obtained by projecting the correlation matrix elements on to eigenvectors. The principal component space is partitioned into classes and a least square filter set is generated for each class.
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