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• W222965940 abstract "In the field of system identification, the coefficients of a digital filter, which are used to illustrate the transfer function of a system, are often fixed by known input and output signal sequences. The least mean square (LMS) adaptive algorithm is often used for its small computational requirement and convergence performance.Generally, the input or the output signal sequence often contains directive current (DC) components. What is the effect of the DC component upon the adaptive algorithm? This is just the main objective of this note. Here we propose an improved LMS adaptive algorithm with varying stepsize, which is based on the DC components analyzing." @default.
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• W222965940 date "1996-01-01" @default.
• W222965940 modified "2023-09-24" @default.
• W222965940 title "Improved LMS adaptive algorithm with varying stepsize" @default.
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