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Artificial neural networks are extremely used for detection of spread-spectrum signals in multiple-access environments. In this paper we suggest the use of generalized regression neural networks (GRNN) on multiuser detectors in DS/CDMA systems. The network is trained by applying the estimated joint probability density function. After training, the network can obtain the required timing without knowing...
Nonlinear feature extraction of speech signals has been the main concern of many researches in recent years. In this paper, feature extraction of phonemes using NPC (neural predictive coding) model is generalized to a combination of time and DCT domains. Two main ideas were proposed and evaluated in this paper. First, a frame-wise DCT-based NPC feature extractor is proposed to overcome the computational...
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