Rogerio Guedes Alves

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Adaptive filtering techniques in subbands have been recently developed for a number of applications including acoustic echo cancellation and wideband active noise control. In such applications, hundreds of taps are required resulting in high computational complexity and low convergence rate when using LMS based algorithms. For fullband systems, new(More)
Subband adaptive filtering techniques have been recently developed for a number of applications, such as acoustic echo cancellation and wideband active noise control. Such applications require adaptive filters with hundreds of taps, resulting in high computational complexity and low convergence rate for LMS based algorithms. For fullband systems , a variety(More)
In this paper, a non-uniform subband adaptive structure with critical sampling of the subband signals is derived. With the assumption of non-overlapping between non-adjacent analysis filters, the resulting structure yields exact modeling of an arbitrary FIR system. An LMS-type adaptation algorithm, which minimizes the sum of the subband squared-errors, is(More)