Ks. Chan et B. Farhang-boroujeny, Lattice PFBLMS: Fast converging structure for efficient implementation of frequency-domain adaptive filters, SIGNAL PROC, 78(1), 1999, pp. 79-89
It has been demonstrated that the unconstrained partitioned fast block LMS
(PFBLMS) algorithm suffers from an inherently slow convergence rate. A solu
tion to this problem has previously been proposed by the second author of t
his paper, which reduces the correlation by reducing the overlap between pa
rtitions. 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
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