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- W4308793406 abstract "A new adaptive modelling technique (AP-NCD) is suggested to increase the speed and accuracy of modelling the long memory filter with strong correlation signals by integrating the alternating projection principle with the nonlinear multi-degree of freedom algorithm (NLMDF). The basic idea is to partition a huge filter into a set of sub filters of length m = 2 by using the notion of alternating projection, and then iterate through each sub filter using the NCD method derived from the NLMDF algorithm. The convergence characteristics of the AP-NCD algorithm are investigated in this study, and the principle of parameter selection is derived. The simulation results demonstrate that the AP-NCD algorithm has a faster convergence time and accuracy than the NLMDF, TPLMS, and DCTLMS algorithms when the high correlation input signal is used to model the long memory filter (FIR)." @default.
- W4308793406 created "2022-11-15" @default.
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- W4308793406 date "2022-10-15" @default.
- W4308793406 modified "2023-09-26" @default.
- W4308793406 title "Fast LMS-based Compound Algorithm for Modelling Long Memory Filters with Colored Signal" @default.
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- W4308793406 doi "https://doi.org/10.1109/icisci53188.2022.9941433" @default.
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