Ara
Toplam kayıt 15, listelenen: 11-15
A novel hybrid electrocardiogram signal compression algorithm with low bit-rate
(Springer, 2010)
In this paper, a novel hybrid Electrocardiogram (ECG) signal compression algorithm based on the generation process of the Variable-Length Classified Signature and Envelope Vector Sets (VL-CSEVS) is proposed. Assessment ...
Elektroensefalogram (EEG) işaretlerinin sıkıştırılmasında özgün bir yaklaşım
(IEEE, 2008)
Bu çalışmada, Elektroensefalogram(EEG) işaretlerinin yeniden oluşturulmasına yönelik olarak yeni bir yöntem sunulmaktadır. Sunulan yöntem, etkin bir k-ortalamalı sınıflandırma algoritması kullanılarak Sınıflandırılmış Temel ...
A new coding method for speech and audio signals
(IEEE, 2005)
In this paper a new representation or modeling method of speech signals is introduced. The proposed method is based on the generation of the so-called Predefined Signature S={S R } and Envelope vector E={E K } Sets (PSEVS). ...
A novel representation method for electromyogram (EMG) signal with predefined signature and envelope functional bank
(IEEE, 2004)
In this paper, a new method to model EMG signals by means of "Predefined Signature and Envelope Functional Banks (PSEB)" is presented. Since EMG signals present quasi-stationary behavior, any EMG signal Xi is modeled by ...
A novel biometric identification system based on fingertip electrocardiogram and speech signals
(Elsevier Inc., 2022-03)
In this research work, we propose a one-dimensional Convolutional Neural Network (CNN) based biometric identification system that combines speech and ECG modalities. The aim is to find an effective identification strategy ...