Kernel Estimation of Volterra Using an Adaptive Artificial Bee Colony Optimization and Its Application to Speech Signal Multi-Step Prediction
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DOI: 10.1109/access.2018.2880280
Abstract: In order to solve parameters selection problem when applying recursive least square (RLS), least mean square (LMS) or normalized LMS (NLMS) algorithms to estimate kernels of second-order Volterra filter (SOVF), a novel adaptive gbest-guide artificial… read more here.
Keywords: sovf model; agabc sovf; speech signal; prediction ... See more keywords