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To reduce noise and speckles in the spectrograms of Doppler blood flow signals, a novel method, called matching pursuit with pulse coupled neural network (MPPCNN), has been proposed. The method considered is an iterative decomposition algorithm, which decomposes the Doppler ultrasound signals into linear expansion of atoms in a time-frequency dictionary using the matching pursuit (MP) for de-noising...
In this paper, a novel method is proposed for face recognition based on combined Gabor features and unit-linking pulse coupled neural network (PCNN) time signature. In this approach, a probe face is first divided into a 2times2 block then the mean and standard deviation of the Gabor sub-face image are extracted which includes 40-dimension features in each block. The PCNN time signature of a face image...
In this paper, a novel method is proposed for face recognition based on pulse coupled neural network (PCNN) time signature. In this approach, a probe face is first extracted PCNN time signature as the recognition features, which a two-dimensional image is projected to a low one-dimensional feature space and then is classified based on the known samples. An extensive experimental investigation is conducted...
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