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https://doi.org/10.1016/S0165-1684(99)00048-1
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. https://doi.org/10.1016/S0165-1684(99)00048-1 | 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/10635/80673 | ISSN: | 01651684 | DOI: | 10.1016/S0165-1684(99)00048-1 |
Appears in Collections: | Staff Publications |
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