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Toplam kayıt 22, listelenen: 1-10
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 image compression method based on classified energy and pattern blocks: Initial results
(Springer, 2010)
In this work, a new method for the compression of the images based on the generation of the so called classified energy and pattern blocks is introduced and the initial results are presented. The initials results proved ...
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 ...
An efficient ECG data compression technique based on predefined signature and envelope vector banks
(IEEE, 2005)
In this paper, a new method to compress ElectroCardioGram (ECG) Signal by means of "Predefined Signature and Envelope Vector Banks-PSEVB" is presented. In this work, on a frame basis, any ECG signal is modeled by multiplying ...
A new algorithm for high speed speech and audio coding
(IEEE, 2007)
In this work, a new mathematical modeling approach is proposed for the representation of the speech and audio signals. This approach is based on the generation of the so called Predefined Signature Sequence (PSS) and ...
A novel fast algorithm for speech and audio coding
(IEEE, 2007)
In this work a new mathematical modeling approach is proposed for the representation of the speech and audio signals. This approach is based on the generation of the so called Predefined Signature Sequence (PSS) and ...
A novel noise robust and low bit rate speech coding algorithm
(IEEE, 2009)
In this work, a new noise robust and variable length frame based speech modeling method is introduced. This method consists of three major steps which includes noise removal algorithm, coding and encoding algorithms, ...
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 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 ...
Model adaptation for dialog act tagging
(IEEE, 2006)
In this paper, we analyze the effect of model adaptation for dialog act tagging. The goal of adaptation is to improve the performance of the tagger using out-of-domain data or models. Dialog act tagging aims to provide a ...