• Türkçe
    • English
  • English 
    • Türkçe
    • English
  • Login
Search 
  •   DSpace Home
  • 1- Fakülteler | Faculties
  • Mühendislik Fakültesi / Faculty of Engineering
  • Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
  • MF - Makale Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
  • Search
  •   DSpace Home
  • 1- Fakülteler | Faculties
  • Mühendislik Fakültesi / Faculty of Engineering
  • Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
  • MF - Makale Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
  • Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

Search

Show Advanced FiltersHide Advanced Filters

Filters

Use filters to refine the search results.

Now showing items 1-8 of 8

  • Sort Options:
  • Relevance
  • Title Asc
  • Title Desc
  • Issue Date Asc
  • Issue Date Desc
  • Results Per Page:
  • 5
  • 10
  • 20
  • 40
  • 60
  • 80
  • 100
Thumbnail

On the comparative results of "SYMPES: A new method of speech modeling" 

Yarman, Bekir Sıddık Binboğa; Güz, Ümit; Gürkan, Hakan (Elsevier GmbH, 2006)
In this paper, the new method of speech modeling which is called SYMPES (A Novel Systematic Procedure to Model Speech Signals via Predefined "Envelope and Signature Sequences") is introduced and it is compared with the ...
Thumbnail

A new method to represent speech signals via predefined signature and envelope sequences 

Güz, Ümit; Gürkan, Hakan; Yarman, Bekir Sıddık Binboğa (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)}" ...
Thumbnail

Compression of the biomedical images using quadtree-based partitioned universally classified energy and pattern blocks 

Gezer, Murat; Gargari, Sepideh Nahavandi; Güz, Ümit; Gürkan, Hakan (Springer London, 2019-03-15)
In this work, an efficient low bit rate image coding/compression method based on the quadtree-based partitioned universally classified energy and pattern building blocks (QB-UCEPB) is introduced. The proposed method combines ...
Thumbnail

Effective semi-supervised learning strategies for automatic sentence segmentation 

Dalva, Doğan; Güz, Ümit; Gürkan, Hakan (Elsevier Science BV, 2018-04-01)
The primary objective of sentence segmentation process is to determine the sentence boundaries of a stream of words output by the automatic speech recognizers. Statistical methods developed for sentence segmentation requires ...
Thumbnail

Compression of ECG signals using variable-length classified vector sets and wavelet transforms 

Gürkan, Hakan (SPRINGER INTERNATIONAL PUBLISHING AG, 2012)
In this article, an improved and more efficient algorithm for the compression of the electrocardiogram (ECG) signals is presented, which combines the processes of modeling ECG signal by variable-length classified signature ...
Thumbnail

EEG signal compression based on classified signature and envelope vector sets 

Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (JOHN WILEY & SONS LTD, 2009-03)
In this paper, a novel method to compress electroencephalogram (EEG) signal is proposed. The proposed method is based on the generation process of the classified signature and envelope vector sets (CSEVS), which employs ...
Thumbnail

Modeling of electrocardiogram signals using predefined signature and envelope vector sets 

Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (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 ...
Thumbnail

Biometric identification using fingertip electrocardiogram signals 

Güven, Gökhan; Gürkan, Hakan; Güz, Ümit (Springer London Ltd, 2018-07-01)
In this research work, we present a newly fingertip electrocardiogram (ECG) data acquisition device capable of recording the lead-1 ECG signal through the right- and left-hand thumb fingers. The proposed device is ...



DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsTypeLanguageDepartmentCategoryPublisherAccess TypeIşık AuthorCitationThis CollectionBy Issue DateAuthorsTitlesSubjectsTypeLanguageDepartmentCategoryPublisherAccess TypeIşık AuthorCitation

My Account

LoginRegister

Discover

Author
Gürkan, Hakan (8)
Güz, Ümit (7)Yarman, Bekir Sıddık Binboğa (4)Dalva, Doğan (1)Gargari, Sepideh Nahavandi (1)... View MoreSubjectAlgorithm (2)Classification (of information) (2)Quantization (2)Recognition (2)Speech processing (2)... View MorePublication Typearticle (8)Languageeng (8)Publication Category
Belirsiz (8)
Access Typeinfo:eu-repo/semantics/closedAccess (5)info:eu-repo/semantics/openAccess (3)Date Issued2010 - 2019 (4)2006 - 2009 (4)Has File(s)true (8)

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 


|| Policy || Guide || Library || Işık University || OAI-PMH ||

Işık University Library, Şile, İstanbul, Turkey
If you find any errors in content please report us

Creative Commons License
Işık University Institutional Repository is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License..

DSpace@Işık:


DSpace 6.2

tarafından İdeal DSpace hizmetleri çerçevesinde özelleştirilerek kurulmuştur.