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Nowadays one of the most important assets within any corporation is information. Year after year, a research group generates heterogeneous information in both content and format. The optimal manage of this information-called "corporate memory"- allow exchange, consultation and diffuse of these data. Technologies associated with the Semantic Web [1] are ideal for achieving that objective...
In this paper we introduce VS-SC, an efficient variable step size normalized LMS algorithm for updating the coefficients of a FIR structure in noise and echo canceling applications. In the VS-SC algorithm the step size adjustment is controlled by the square of the correlation between the output error and the adaptive filter output. The proposed algorithm is compared with the conventional normalized...
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