Yazar "Güz, Ümit" için MF - Bildiri Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering listeleme
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Compression of the CT images using classified energy and pattern blocks
Gökbay, İnci Zaim; Gezer, Murat; Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (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
Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (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 ... -
An efficient ECG data compression technique based on predefined signature and envelope vector banks
Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (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 ... -
Elektroensefalogram (EEG) işaretlerinin sıkıştırılmasında özgün bir yaklaşım
Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (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 ... -
Extension of conventional co-training learning strategies to three-view and committee-based learning strategies for effective automatic sentence segmentation
Dalva, Doğan; Güz, Ümit; Gürkan, Hakan (IEEE, 2018)The objective of this work is to develop effective multi-view semi-supervised machine learning strategies for sentence boundary classification problem when only small sets of sentence boundary labeled data are available. ... -
Extraction and comparison of various prosodic feature sets on sentence segmentation task for Turkish broadcast news data
Dalva, Doğan; Revidi, İzel D.; Güz, Ümit; Gürkan, Hakan (IEEE, 2014)In this work, prosodic features of the Turkish Broadcast News (BN) data are extracted using an open source prosodic feature extraction tool based on Praat. The profiles and effectiveness of these features are also investigated ... -
Model adaptation for dialog act tagging
Tür, Gökhan; Güz, Ümit; Hakkani Tür, Dilek (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 ... -
A new algorithm for high speed speech and audio coding
Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (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 coding method for speech and audio signals
Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (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 New speech coding algorithm using zero cross and phoneme based SYMPES
Şişman, Burak; Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (IEEE, 2013-07-11)In this work, a new low bit rate hybrid speech coding approach which combines the benefits of the SYMPES (Systematic Procedure for Predefined Envelope and Signature Sequences) and zero cross and phoneme based segmentation ... -
A new speech modeling method: SYMPES
Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (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 biometric authentication approach using electrocardiogram signals
Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (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 computed tomography image compression method based on classified energy and pattern blocks
Gökbay, İnci Zaim; Gezer, Murat; Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (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 fast algorithm for speech and audio coding
Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (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 human identification system based on electrocardiogram features
Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (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 hybrid electrocardiogram signal compression algorithm with low bit-rate
Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (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 ... -
A novel image compression method based on classified energy and pattern blocks: Initial results
Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (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 method to represent ECG signals via predefined personalized signature and envelope functions
Yarman, Bekir Sıddık Binboğa; Gürkan, Hakan; Güz, Ümit; Aygün, B. (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 method to represent the speech signals by using language and speaker independent predefined functions sets
Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (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 noise robust and low bit rate speech coding algorithm
Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (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, ...