The paper discusses computationally efficient NLMS and RLS algorithms for a broad class of nonlinear filters using periodic input sequences. The class comprises all nonlinear ...
Alberto Carini, V. John Mathews, Giovanni L. Sicur...
A dedicated hardware system is developed for a recent class of nonlinear hybrid filters called Order StatisticsRational Hybrid Filters (OSRHF). The performance of these filters is...
Lazhar Khriji, Giuseppe Bernacchia, Moncef Gabbouj...
In this paper, adaptive neural network sliding-mode controller design approach with decoupled method is proposed. The decoupled method provides a simple way to achieve asymptotic ...
—Sliding mode control (SMC) has a strong capability of controlling nonlinear systems with uncertainties. However, it requires thorough knowledge of parameters and dynamics of the...
Muhammad Yasser, Agus Trisanto, Jianming Lu, Hiroo...
A neural-network-based approach is proposed in this paper providing multimedia systems with the ability to adapt their performance to the specific needs and characteristics of thei...
George Votsis, Nikolaos D. Doulamis, Anastasios D....