X Guan, X Chen, G Wu - 2009 2nd International Congress on …, 2009 - ieeexplore.ieee.org
The least mean square (LMS) adaptive filter is popular owing to its simplicity but even simpler approaches are required for many real-time applications. Reduction of the …
We propose a system for estimating driver attention levels using Visually evoked potentials (VEP), computed from the EEG signals of the visual cortex. We investigate the use of both …
M Bekrani, M Lotfizad - Circuits, Systems, and Signal Processing, 2015 - Springer
The high computational load of conventional adaptive FIR filters applied to long system identification and their weak tracking ability has encouraged researchers to seek for efficient …
A Didandeh, N Mirbakhsh, A Amiri, M Fathy - Neural processing letters, 2011 - Springer
A critical issue of Neural Network based large-scale data mining algorithms is how to speed up their learning algorithm. This problem is particularly challenging for Error Back …
Every person in this world is concerned about being safe. Increasing safety and reducing road accidents, thereby saving lives are one of great interest in the context of Advanced …
M Bekrani, AWH Khong - 2012 Conference Record of the Forty …, 2012 - ieeexplore.ieee.org
One of the efficient solutions for the identification of long finite-impulse response systems is the three-level clipped input LMS/RLS (CLMS/CRLS) adaptive filter. In this paper, we first …
R Gall, F Troester, G Mogan - 2010 IEEE/ASME International …, 2010 - ieeexplore.ieee.org
This paper is devoted to design and implement an intelligent scaled car-like mobile robot that possesses the capability of autonomous driving in an extra-road environment and fully …