Support vector machines framework for linear signal processing

Signal Processing, pp. 2316-2326, 2005.

Cited by: 71|Views2
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Abstract:

This paper presents a support vector machines (SVM) framework to deal with linear signal processing (LSP) problems. The approach relies on three basic steps for model building: (1) identifying the suitable base of the Hilbert signal space in the model, (2) using a robust cost function, and (3) minimizing a constrained, regularized functio...More

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