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ISCAS
1999
IEEE
114views Hardware» more  ISCAS 1999»
15 years 2 months 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
MCSS
2007
Springer
14 years 9 months ago
An ISS small gain theorem for general networks
We provide a generalized version of the nonlinear small gain theorem for the case of more than two coupled input-to-state stable (ISS) systems. For this result the interconnection...
Sergey Dashkovskiy, Björn Rüffer, Fabian...
BC
2005
122views more  BC 2005»
14 years 9 months ago
On partial contraction analysis for coupled nonlinear oscillators
We describe a simple but general method to analyze networks of coupled identical nonlinear oscillators, and study applications to fast synchronization, locomotion, and schooling. ...
Wei Wang 0008, Jean-Jacques E. Slotine
JMLR
2010
160views more  JMLR 2010»
14 years 4 months ago
Neural conditional random fields
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
Trinh Minh Tri Do, Thierry Artières
ISBI
2002
IEEE
15 years 10 months ago
Optimal nonlinear estimation of photon coordinates in PET
We consider detection of high-energy photons in PET using thick scintillation crystals. Parallax effect and multiple Compton interactions in this type of crystals significantly re...
Alexander M. Bronstein, Michael M. Bronstein, Mich...