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Studies on the Convergence Speed of Over-Sampled Subband Adaptive Digital Filters

Shuichi OHNO

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Summary :

To evaluate or compare the convergence speed of adaptive digital filters (ADF) with least mean squared (LMS) algorithm, the condition numbers of correlation matrices of tap-input vectors are often used. In this paper, however, the comparison of the conventional fullband ADF and the subband ADF based on their condition numbers is shown to be invalid. In some cases, the over-sampled subband ADF converges faster than the fullband ADF, although the former has larger condition numbers. To explain the above phenomenon, an expression for the convergence behavior of the subband ADF and simulation results are provided.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E83-A No.8 pp.1531-1538
Publication Date
2000/08/25
Publicized
Online ISSN
DOI
Type of Manuscript
Special Section PAPER (Special Section on Digital Signal Processing)
Category
Adaptive Signal Processing

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