Ara
Toplam kayıt 15, listelenen: 1-10
A novel method to represent speech signals
(Elsevier Science BV, 2005-01)
In this work, speech signals are modeled by means of the so-called pre-defined "signature functions". The pre-defined signature functions are generated using the statistical properties of the speech signals. It has been ...
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 new method to represent speech signals via predefined signature and envelope sequences
(Hindawi Publishing Corporation, 2007)
A novel systematic procedure referred to as "SYMPES" to model speech signals is introduced. The structure of SYMPES is based on the creation of the so-called predefined "signature S = {S(R)(n)} and envelope E = {E(K) (n)}" ...
Modeling of electrocardiogram signals using predefined signature and envelope vector sets
(Hindawi Publishing Corporation, 2007)
A novel method is proposed to model ECG signals by means of "predefined signature and envelope vector sets (PSEVS)." On a frame basis, an ECG signal is reconstructed by multiplying three model parameters, namely, predefined ...
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 method to represent ECG signals via predefined personalized signature and envelope functions
(IEEE, 2001)
In this paper, a new method to model ECG signals by means of "Predefined Personalized Signature and Envelope Functions" is presented. ECG signals are somewhat unique to a person. Moreover, it presents quasi-stationary ...
Generation of optimum signature base sequences for speech signals
(IEEE, 2000)
In our previous publications [1-6], 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. ...
A novel human identification system based on electrocardiogram features
(IEEE, 2013)
In this work, we present a novel biometric authentication approach based on combination of AC/DCT features, MFCC features, and QRS beat information of the ECG signals. The proposed approach is tested on a subset of 30 ...
A novel biometric authentication approach using electrocardiogram signals
(IEEE, 2013)
In this work, we present a novel biometric authentication approach based on combination of AC/DCT features, MFCC features, and QRS beat information of the ECG signals. The proposed approach is tested on a subset of 30 ...