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- W2965866211 abstract "In this paper, a critically sampled nonlinear subband structure based on the Hammerstein spline adaptive filters, called Hammerstein subband spline adaptive filter (HSSAF), for the system identification problem is presented. The proposed structure is composed of a series of Hammerstein subband spline filters, each one comprising an adaptive look-up table (LUT) followed by a linear time invariant (LTI) filter. This new kind of subband structure can be utilized to identify the Hammerstein-type nonlinear systems. The subband filters update their spline control points involved in LUT and the tap-weights of the LIT in their respective adaptation loops by using the stochastic gradient decent rule, which tries to minimize the mean squared value of the estimated subband errors. In order to mitigate the interband aliasing and performance degradation introduced by the critical sampling, anti-alias filters are inserted into the subband structure, which isolate the interband aliasing components and remove them from the subband input signal and desired signal. Some simulation results demonstrate the better performance of the proposed structure in case of a high degree of nonlinearity compared to the existing scheme." @default.
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- W2965866211 date "2018-12-01" @default.
- W2965866211 modified "2023-09-24" @default.
- W2965866211 title "Hammerstein Subband Spline Adaptive Filter for Nonlinear System Identification" @default.
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- W2965866211 doi "https://doi.org/10.1109/compcomm.2018.8780698" @default.
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