Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/62380
Title: Lattice PFBLMS: Fast converging structure for efficient implementation of frequency-domain adaptive filters
Authors: Chan, K.S.
Farhang-Boroujeny, B. 
Issue Date: Oct-1999
Citation: Chan, K.S., Farhang-Boroujeny, B. (1999-10). Lattice PFBLMS: Fast converging structure for efficient implementation of frequency-domain adaptive filters. Signal Processing 78 (1) : 79-89. ScholarBank@NUS Repository.
Abstract: It has been demonstrated that the unconstrained partitioned fast block LMS (PFBLMS) algorithm suffers from an inherently slow convergence rate. A solution to this problem has previously been proposed by the second author of this paper, which reduces the correlation by reducing the overlap between partitions. A drawback of this solution is that it requires more memory than the conventional PFBLMS algorithm. In this paper, we propose an alternative solution that does not require any additional memory. A lattice structure is used instead to remove the correlation and increase the convergence rate.
Source Title: Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/62380
ISSN: 01651684
Appears in Collections:Staff Publications

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