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ICC
2007
IEEE
155views Communications» more  ICC 2007»
14 years 2 months ago
Automatic Digital Signal Types Recognition Using SI-NN and HOS
— Recognition of digital signal type is an important topic for various applications. In this paper a method is presented that identifies different types of digital signals. This ...
Ataollah Ebrahimzadeh, Mehrdad Ardebilipour, Alire...
ICRA
2006
IEEE
111views Robotics» more  ICRA 2006»
14 years 1 months ago
Unmanned Aerial Vehicle (UAV) Modelling based on Supervised Neural Networks
This paper proposes the utilization of hybrid models of supervised neural networks for the modelling of dynamic systems. Particularly, as an example of a system, a autonomous helic...
Rodrigo San Martin, Antonio Barrientos, Pedro Guti...
IJCNN
2000
IEEE
14 years 3 days ago
Support Vector Machines Based on a Semantic Kernel for Text Categorization
We propose to solve a text categorization task using a new metric between documents, based on a priori semantic knowledge about words. This metric can be incorporated into the def...
George Siolas, Florence d'Alché-Buc
NIPS
1990
13 years 9 months ago
Bumptrees for Efficient Function, Constraint and Classification Learning
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
Stephen M. Omohundro
ISCAS
1999
IEEE
114views Hardware» more  ISCAS 1999»
14 years 13 hour ago
Channel equalization by feedforward neural networks
A signal su ers from nonlinear, linear, and additive distortion when transmitted through a channel. Linear equalizers are commonly used in receivers to compensate for linear chann...
Biao Lu, Brian L. Evans