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Toplam kayıt 24, listelenen: 21-24
EEG signal compression based on classified signature and envelope vector sets
(IEEE Computer Society, 2007)
In this paper, a novel method to compress ElectroEncephaloGram (EEG) Signal is proposed. The proposed method is based on the generation Classified Signature and Envelope Vector Sets (CSEVS) by using an effective k-means ...
A novel method to represent the speech signals by using language and speaker independent predefined functions sets
(IEEE, 2004)
In this paper a new modeling method of speech signals is introduced. The proposed method is based on the generation of the so-called Predefined Signature S={s(R)(t)} and Envelope Function E = {e(K)(t)} Sets (PSEFS). These ...
Representation of speech signals by single signature base function within optimum frame length
(IEEE, 2000)
Before this study, we proposed a novel method to represent signals in terms of, so called, “Signature Base Functions-SBF" which were extracted from the physical features of the waveform under consideration. SBF were ...
Real-time range sensing with a Scheimpflug camera and a single custom sensor/processor chip
(SPIE-Int Soc Optical Engineering, 2003)
An image-based range sensing technique is presented. The technique is originally considered for highway collision avoidance applications but its generality makes it suitable for application in robotics, manufacturing and ...