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Compression of the CT images using classified energy and pattern blocks
(IEEE, 2013)
In this work, a new biomedical image compression method is proposed based on the classified energy and pattern blocks (CEPB). CEPB based compression method is specifically applied on the Computed Tomography (CT) images and ...
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 new speech modeling method: SYMPES
(IEEE, 2006)
In this paper, the new method of speech modeling which is called SYMPES is introduced and it is compared with the commercially available methods. It is shown that for the same compression ratio or better, SYMPES yields ...
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 ...
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 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 ...
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 ...
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 ...
A novel computed tomography image compression method based on classified energy and pattern blocks
(IEEE, 2013)
In this work, a new biomedical image compression method is proposed based on the classified energy and pattern blocks (CEPB). CEPB based compression method is specifically applied on the Computed Tomography (CT) images and ...
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 ...
