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- W2169572114 abstract "Adaptive subband structures have been proposed with the objective of increasing the convergence speed and/or reducing the computational complexity of conventional adaptive algorithms, mainly for applications which require a large numb of adaptive coefficients. In this paper, we present a nonuniform subband structure with critical sampling, which is able of exact modeling an arbitrary FIR system. We also derive an LMS-type adaptation algorithm with normalized step-sizes, which works the lowest downsampling rate and minimizes the average of the subband squared-errors. A convergence analysis of the propos adaptation algorithm is presented, from which its convergence rate can be estimated." @default.
- W2169572114 created "2016-06-24" @default.
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- W2169572114 date "2006-09-22" @default.
- W2169572114 modified "2023-10-14" @default.
- W2169572114 title "Non-Uniform Subband Adaptive Filtering with Critical Sampling" @default.
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- W2169572114 doi "https://doi.org/10.1109/iscas.2006.1692611" @default.
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