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Hybrid Adaptive Volterra Filter Robust to Nonlinear Distortion  

Kwon, Oh-Sang (Dept. of Computer and Information Science, Korea Digital University)
Abstract
In this paper, the new hybrid adaptive Volterra filter was proposed to be applied for compensating the nonlinear distortion of memoryless nonlinear systems with saturation characteristics. Through computer simulations as well as the analytical analysis, it could be shown that it is possible for both conventional Volterra filter and proposed hybrid Volterra filter, to be applied for linearizing the memoryless nonlinear system with nonlinear distortion. Also, the simulations results demonstrated that the proposed hybrid filter may have faster convergence speed and better capability of compensating the nonlinear distortion than the conventional Volterra filter.
Keywords
Hybrid adaptive; Volterra filter; Nonlinear distortion; Convergence;
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