Abstract
There are many strategies to improve the overall performance of the classical adaptive filters. Among these strategies, the data-reuse algorithms aim to improve the convergence rate by reusing the same set of data (i.e., the input and reference signals) several times. Another possibility is to use a variable step size (VSS) to achieve a proper compromise between the convergence rate and misadjustment of the adaptive filter. Nevertheless, both approaches increase the computational complexity. In this paper, we present an efficient data-reuse algorithm, which is the result of a combination between 1) a low-complexity implementation of the data-reuse process and 2) a simple and practical mechanism for controlling the step size. Simulations performed in the context of acoustic echo cancellation indicate the good performance of the proposed approach.
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