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In this paper, a new nonlinear acoustic echo cancellation system is proposed, which utilizes adaptive 3rd-order Volterra filtering with a modified variable step-size GSPAP (VSS-GSPAP) algorithm. In particular, the proposed approach yields better echo cancellation performance than conventional VSS-NLMS methods in case of the double-talk situation in background noise. Simulation results demonstrate...
In active noise control (ANC) systems, an acoustic feedback signal may degrade the ANC performance and/or cause system instability. To solve such a problem, various online feedback path modeling (OFPM) methods using additive random noise have been reported. However, the additive random noise signal may contribute to the residual output noise. In this paper, a new random noise injection control is...
Variable-to-check residual belief propagation for LDPC decoding for faster convergence, better error performance and lower complexity is proposed. It is similar to residual belief propagation (RBP) that was recently applied to LDPC decoding by Vila Casado etal. because it is also a dynamic scheduling belief propagation using residuals, but it is different because the residuals are computed from a...
A new fast learning algorithm for a multilayer feedforward neural network is presented. The new algorithm, based on an innovative variable step size and gradient averaging, has excellent properties to overcome major drawbacks of the backpropagation algorithm and shows high convergence speed. The improved performance of new algorithm in comparison with other algorithms is verified via computer simulations...
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