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» Complex ICA Using Nonlinear Functions
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ISNN
2007
Springer
14 years 2 months ago
Recurrent Fuzzy CMAC for Nonlinear System Modeling
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
FSE
2006
Springer
95views Cryptology» more  FSE 2006»
14 years 7 days ago
Cryptanalysis of Achterbahn
We present several attacks against Achterbahn, one of the new stream ciphers proposed to the eSTREAM competition. Our best attack breaks the reduced version of the cipher with comp...
Thomas Johansson, Willi Meier, Frédé...
ISCAS
1999
IEEE
114views Hardware» more  ISCAS 1999»
14 years 26 days 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
SIBGRAPI
2006
IEEE
14 years 2 months ago
Improved FingerCode Matching Function
FingerCode is a fingerprint correlation matching scheme that relies on texture information. In this scheme, the oriented components are extracted from a fingerprint image using a ...
Gustavo de Sa, Roberto de Alencar Lotufo
ICASSP
2011
IEEE
13 years 9 days ago
An efficient peak frequency estimator for product high-order ambiguity function
In this paper, we consider improvement of parameter estimation accuracy of multicomponent polynomial-phase signals (mc-PPSs) using the product high-order ambiguity function (PHAF)...
Slobodan Djukanovic, Vesna Popovic