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Signature verification using conic section function neural network
(Springer-Verlag Berlin, 2005)
This paper presents a new approach for off-line signature verification based on a hybrid neural network (Conic Section Function Neural Network-CSFNN). Artificial Neural Networks (ANNs) have recently become a very important ...
A low-complexity KL expansion-based channel estimator for OFDM systems
(2005)
This paper first proposes a computationally efficient pilot-aided linear minimum mean square error (MMSE) batch channel estimation algorithm for OFDM systems in unknown wireless fading channels. The proposed approach employs ...