Please use this identifier to cite or link to this item: https://doi.org/10.1109/78.942616
Title: Analysis of the partitioned frequency-domain block LMS (PFBLMS) algorithm
Authors: Chan, K.S.
Farhang-Boroujeny, B. 
Keywords: Adaptive filters
Block LMS
FBLMS
Frequency domain
Partitioned FBLMS
Issue Date: Sep-2001
Source: Chan, K.S.,Farhang-Boroujeny, B. (2001-09). Analysis of the partitioned frequency-domain block LMS (PFBLMS) algorithm. IEEE Transactions on Signal Processing 49 (9) : 1860-1874. ScholarBank@NUS Repository. https://doi.org/10.1109/78.942616
Abstract: In this paper, we present a new analysis of the partitioned frequency-domain block least-mean-square (PFBLMS) algorithm. We analyze the matrices that control the convergence rates of the various forms of the PFBLMS algorithm and evaluate their eigenvalues for both white and colored input processes. Because of the complexity of the problem, the detailed analyses are only given for the case where the filter input is a first-order autoregressive process (AR-1). However, the results are then generalized to arbitrary processes in a heuristic way by looking into a set of numerical examples. An interesting finding (that is consistent with earlier publications) is that the unconstrained PFBLMS algorithm suffers from slow modes of convergence, which the FBLMS algorithm docs not. Fortunately, however, these modes are not present in the constrained PFBLMS algorithm. A simplified version of the constrained PFBLMS algorithm, which is known as the schedule-constrained PFBLMS algorithm, is also discussed, and the reaso n for its similar behavior to that of its fully constrained version is explained.
Source Title: IEEE Transactions on Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/81966
ISSN: 1053587X
DOI: 10.1109/78.942616
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