This paper presents a new assessment of four approaches to acoustic echo cancellation in the presence of non-linear echo. The comparison is performed with algorithms that are configured to give equivalent performance under linear-only echo conditions, thereby giving a more meaningful assessment. We also compare the effect of non-linear echo to that of noise and show that, whilst performance dif...

Abstract Complex networks encoding the topological architecture of real-world complex systems have recently been undergoing a fundamental transition beyond pairwise interactions described by dyadic connections among nodes. Higher-order structures such as hypergraphs and simplicial complexes utilized to model group for varied networked from brain, society, biological physical systems. In this ar...

This work presents a powerful and flexible alternative for tuning PID controllers using Genetic Algorithms. The potential of this technique is shown using non-linear process models and a reference trajectory. Flexibility is demonstrated by showing how to tune an optimal PID in various situations: model errors, noisy input, IAE minimization, and following a reference models, etc. These problems ...

recently, gasimov and yenilmez proposed an approach for solving two kinds of fuzzy linear programming (flp) problems. through the approach, each flp problem is first defuzzified into an equivalent crisp problem which is non-linear and even non-convex. then, the crisp problem is solved by the use of the modified subgradient method. in this paper we will have another look at the earlier defuzzifi...