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ICASSP
2011
IEEE
12 years 9 months ago
Efficient NLMS and RLS algorithms for a class of nonlinear filters using periodic input sequences
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...
ICIP
1999
IEEE
14 years 6 months ago
A Dedicated Hardware System for a Class of Nonlinear Order Statistics Rational Hybrid Filters with Applications to Image Process
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...
ESWA
2007
135views more  ESWA 2007»
13 years 5 months ago
Decoupled control using neural network-based sliding-mode controller for nonlinear systems
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 ...
Lon-Chen Hung, Hung-Yuan Chung
ISCAS
2006
IEEE
186views Hardware» more  ISCAS 2006»
13 years 11 months ago
Adaptive sliding mode control using simple adaptive control for SISO nonlinear systems
—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...
ICANN
2001
Springer
13 years 9 months ago
A Neural-Network-Based Approach to Adaptive Human Computer Interaction
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....