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ISNN
2007
Springer
16 years 9 days ago
Neural-Based Separating Method for Nonlinear Mixtures
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
Ying Tan
GLOBECOM
2006
IEEE
16 years 7 days ago
On Lowering the Error Floor of High Order Turbo BICM Schemes Over Fading Channels
— A new approach for the association of the well known turbo codes to modulation schemes is presented. This method is designed for flat fading channels. It presents the advantage...
Charbel Abdel Nour, Catherine Douillard
IJCNN
2006
IEEE
16 years 6 days ago
High-speed Bi-directional Function Approximation using Plausible Neural Networks
— This paper applies a recently developed neural network called plausible neural network (PNN) to function approximation. Instead of using error correction, PNN estimates the mut...
Kuo-Chen Li, Dar-Jen Chang, Yuan Yan Chen
IROS
2006
IEEE
107views Robotics» more  IROS 2006»
16 years 6 days ago
Heterogeneous and Hierarchical Cooperative Learning via Combining Decision Trees
Abstract— Decision trees, being human readable and hierarchically structured, provide a suitable mean to derive state-space abstraction and simplify the inclusion of the availabl...
Masoud Asadpour, Majid Nili Ahmadabadi, Roland Sie...
AAECC
2006
Springer
79views Algorithms» more  AAECC 2006»
16 years 5 days ago
New Bounds on the Capacity of Multi-dimensional RLL-Constrained Systems
Abstract. We examine the well-known problem of determining the capacity of multi-dimensional run-length-limited constrained systems. By recasting the problem, which is essentially ...
Moshe Schwartz, Alexander Vardy