View More View Less
  • 1 Ibb University, Yemen
  • | 2 Al-Mustansiriya University, Iraq
Restricted access

This paper presents a new detector named adaptive near maximum likelihood detector which combines pseudobinary and pseudoquaternary near maximum likelihood detection processes. Simulation results show that the performance of adaptive near maximum likelihood detector is better than the performance of pseudobinary near maximum likelihood detector but little bit worse than the performance of the pseudoquaternary near maximum likelihood detector.

  • [1]

    Proakis J. (2000), Digital Communications, McGraw-Hill, 4th edition, New York, USA

  • [2]

    Forney G. (1972), Maximum likelihood sequence estimation of digital sequences in the presence of ISI. IEEE Transactions on Information Theory, 18(3), 363378.

    • Search Google Scholar
    • Export Citation
  • [3]

    Forney G. (1972), The Viterbi algorithm. Proceedings of IEEE, 61(3), 268278.

  • [4]

    Al-Dosari S. et al. (2000), Effective MSE criterion for combined linear-Viterbi equalization. Proc. of IEEE International Conference in Communication System, Singapore.

    • Search Google Scholar
    • Export Citation
  • [5]

    Al-Dosari S. et al. (2001), Combined linear-decision feedback sequence estimation: An improved system. Proc. of IEEE International Symposium on Circuits & Systems, Australia.

    • Search Google Scholar
    • Export Citation
  • [6]

    Beare C. (1978), The choice of the desired impulse response in combined linear-Viterbi algorithm equalizers. IEEE Transactions on Communications, 26, 13011307.

    • Search Google Scholar
    • Export Citation
  • [7]

    Falconer D. , Magee F. (1973), Adaptive channel memory truncation for maximum likelihood sequence estimation. Bell System Technical Journal, 52(9), 15411562.

    • Search Google Scholar
    • Export Citation
  • [8]

    Sundstrom N. et al. (1994), Combined li near-Viterbi equalizer: Comparative study and a minimax design. Proc. of 44th IEEE Vehicular Technology Conference.

    • Search Google Scholar
    • Export Citation
  • [9]

    Al-Rawi M. et al. (1997), Computer simulation for newly designed 9.6 kb/s data transmission system over standard ADPCM. Proc. of Ninth International Conference on Microelectronics, Bandung, Indonesia.

    • Search Google Scholar
    • Export Citation
  • [10]

    Al-Rawi M. (1998), Newly designed 9.6 kb/s data transmission system over various algorithms of ADPCM. PhD Dissertation, Dept. Elect. Eng., Bandung Institute of Technology, Indonesia.

    • Search Google Scholar
    • Export Citation
  • [11]

    Chien-Cheng T. (2007), Symbol-based decision feedback equalizer with maximum likelihood sequence estimation for wireless receivers under multipath channels. US Patent 7197094.

    • Search Google Scholar
    • Export Citation
  • [12]

    Duel-Hallen A. , Heegard C. (1989), Delayed decision- feedback sequence estimation. IEEE Transactions on Communications, 37(51), 428436.

    • Search Google Scholar
    • Export Citation
  • [13]

    Kamel R. , Bar-Ness Y. (1996), Reduced complexity sequence estimation using state partitioning. IEEE Transactions on Communications, 44(9), 10571063.

    • Search Google Scholar
    • Export Citation
  • [14]

    Myburgh H. , Olivier J. (2009), Low complexity iterative MLSE equalization of M-QAM signals in extremely long Rayleigh fading channels. Proc. IEEE EUROCON, Saint-Petersburg, Russia.

    • Search Google Scholar
    • Export Citation
  • [15]

    Peng Y. et al. (2010), Complexity and performance tradeoffs of near-optimal detectors for cooperative ISI channels. Proc. of IEEE International Conference on Military Communications.

    • Search Google Scholar
    • Export Citation
  • [16]

    Qureshi S. , Eyubolu M. (1988), Reduced state sequence estimation with set partitioning and decision feedback. IEEE Transactions on Communications, 36(1), 1320.

    • Search Google Scholar
    • Export Citation
  • [17]

    Stephen A. , Quinn L. (2010), High performance equalizer having reduced complexity. US Patent 20100202507.

  • [18]

    Takizawa K., Kohno R. (2005), Low complexity Viterbi equalizer for MBOK DS-UWB systems. IEICE Transactions on Fundamentals of Electronics, Communications & Computer Sciences, E88-A(9).

    • Search Google Scholar
    • Export Citation
  • [19]

    Turner-Barnes A. , Bibyk S. (2010), Is hybrid combination of Viterbi detector and decision feedback equalizer feasible in electrical SerDes? DesignCon – 2010, Ohio State University, USA.

    • Search Google Scholar
    • Export Citation
  • [20]

    Al-Rawi M. , Al-Rawi M. (2011), Detection processes for mitigating intersymbol interference. International Proceedings of Computer Science and Information Technology, Vol. 19.

    • Search Google Scholar
    • Export Citation
  • [21]

    Clark A. P. et al. (1978), Near maximum likelihood detection processes for distorted digital signals. Radio and Electronic Engineering, 48, 301309.

    • Search Google Scholar
    • Export Citation
  • [22]

    Clark A. P. , Clayden M. (1984), Pseudobinary Viterbi detector. IEE Proceedings, 131(2), 208218.

  • [23]

    Clark A. P. et al. (1985), Pseudobinary and pseudoquaternary detection processes for linearly distorted multilevel QAM signals. IEEE Transactions on Communications, 33, 639645.

    • Search Google Scholar
    • Export Citation
  • [24]

    Clark A. P. , Abdullah S. N. (1987), Near maximum likelihood detectors for voice band channels. IEEE Proceedings, 134(3), 217226.

  • [25]

    Abdullah S. N. (2009), Improved data detection processes using retraining over telephone lines. Journal of Engineering, 15(1), 33363346.

    • Search Google Scholar
    • Export Citation
  • [26]

    Al-Rawi M. , Al-Rawi M. (2012), Equalized near maximum likelihood detector. Radioelectronics and Communications Systems –Springer, 55(12), doi: 10.3103/ S0735272712120072

    • Search Google Scholar
    • Export Citation
  • [27]

    Al-Rawi M. , Al-Rawi M. (2013), Pseudooctonary near maximum likelihood detector. Radioelectronics and Communications Systems –Springer, 56(9). doi: 10.3103/ S0735272713090069

    • Search Google Scholar
    • Export Citation
The author instruction is available in PDF.
Please, download the file from HERE.
Submit Your Manuscript
 

Senior editors

Editor-in-Chief: Ákos, Lakatos

Founder, former Editor-in-Chief (2011-2020): Ferenc Kalmár

Founding Editor: György Csomós

Associate Editor: Derek Clements Croome

Associate Editor: Dezső Beke

Editorial Board

  • M. N. Ahmad, Institute of Visual Informatics, Universiti Kebangsaan Malaysia, Malaysia
  • M. Bakirov, Center for Materials and Lifetime Management Ltd., Moscow, Russia
  • N. Balc, Technical University of Cluj-Napoca, Cluj-Napoca, Romania
  • U. Berardi, Ryerson University, Toronto, Canada
  • I. Bodnár, University of Debrecen, Debrecen, Hungary
  • S. Bodzás, University of Debrecen, Debrecen, Hungary
  • F. Botsali, Selçuk University, Konya, Turkey
  • S. Brunner, Empa - Swiss Federal Laboratories for Materials Science and Technology
  • I. Budai, University of Debrecen, Debrecen, Hungary
  • C. Bungau, University of Oradea, Oradea, Romania
  • M. De Carli, University of Padua, Padua, Italy
  • R. Cerny, Czech Technical University in Prague, Czech Republic
  • Gy. Csomós, University of Debrecen, Debrecen, Hungary
  • T. Csoknyai, Budapest University of Technology and Economics, Budapest, Hungary
  • G. Eugen, University of Oradea, Oradea, Romania
  • J. Finta, University of Pécs, Pécs, Hungary
  • A. Gacsadi, University of Oradea, Oradea, Romania
  • E. A. Grulke, University of Kentucky, Lexington, United States
  • J. Grum, University of Ljubljana, Ljubljana, Slovenia
  • G. Husi, University of Debrecen, Debrecen, Hungary
  • G. A. Husseini, American University of Sharjah, Sharjah, United Arab Emirates
  • N. Ivanov, Peter the Great St.Petersburg Polytechnic University, St. Petersburg, Russia
  • A. Járai, Eötvös Loránd University, Budapest, Hungary
  • G. Jóhannesson, The National Energy Authority of Iceland, Reykjavik, Iceland
  • L. Kajtár, Budapest University of Technology and Economics, Budapest, Hungary
  • F. Kalmár, University of Debrecen, Debrecen, Hungary
  • T. Kalmár, University of Debrecen, Debrecen, Hungary
  • M. Kalousek, Brno University of Technology, Brno, Czech Republik
  • J. Koci, Czech Technical University in Prague, Prague, Czech Republic
  • V. Koci, Czech Technical University in Prague, Prague, Czech Republic
  • I. Kocsis, University of Debrecen, Debrecen, Hungary
  • I. Kovács, University of Debrecen, Debrecen, Hungary
  • É. Lovra, Univesity of Debrecen, Debrecen, Hungary
  • T. Mankovits, University of Debrecen, Debrecen, Hungary
  • I. Medved, Slovak Technical University in Bratislava, Bratislava, Slovakia
  • L. Moga, Technical University of Cluj-Napoca, Cluj-Napoca, Romania
  • M. Molinari, Royal Institute of Technology, Stockholm, Sweden
  • H. Moravcikova, Slovak Academy of Sciences, Bratislava, Slovakia
  • P. Mukhophadyaya, University of Victoria, Victoria, Canada
  • H. S. Najm, Rutgers University, New Brunswick, United States
  • J. Nyers, Subotica Tech - College of Applied Sciences, Subotica, Serbia
  • B. W. Olesen, Technical University of Denmark, Lyngby, Denmark
  • S. Oniga, North University of Baia Mare, Baia Mare, Romania
  • J. N. Pires, Universidade de Coimbra, Coimbra, Portugal
  • L. Pokorádi, Óbuda University, Budapest, Hungary
  • A. Puhl, University of Debrecen, Debrecen, Hungary
  • R. Rabenseifer, Slovak University of Technology in Bratislava, Bratislava, Slovak Republik
  • M. Salah, Hashemite University, Zarqua, Jordan
  • D. Schmidt, Fraunhofer Institute for Wind Energy and Energy System Technology IWES, Kassel, Germany
  • L. Szabó, Technical University of Cluj-Napoca, Cluj-Napoca, Romania
  • Cs. Szász, Technical University of Cluj-Napoca, Cluj-Napoca, Romania
  • J. Száva, Transylvania University of Brasov, Brasov, Romania
  • P. Szemes, University of Debrecen, Debrecen, Hungary
  • E. Szűcs, University of Debrecen, Debrecen, Hungary
  • R. Tarca, University of Oradea, Oradea, Romania
  • Zs. Tiba, University of Debrecen, Debrecen, Hungary
  • L. Tóth, University of Debrecen, Debrecen, Hungary
  • A. Trnik, Constantine the Philosopher University in Nitra, Nitra, Slovakia
  • I. Uzmay, Erciyes University, Kayseri, Turkey
  • T. Vesselényi, University of Oradea, Oradea, Romania
  • N. S. Vyas, Indian Institute of Technology, Kanpur, India
  • D. White, The University of Adelaide, Adelaide, Australia
  • S. Yildirim, Erciyes University, Kayseri, Turkey

International Review of Applied Sciences and Engineering
Address of the institute: Faculty of Engineering, University of Debrecen
H-4028 Debrecen, Ótemető u. 2-4. Hungary
Email: irase@eng.unideb.hu

Indexing and Abstracting Services:

  • DOAJ
  • Google Scholar
  • ProQuest
  • SCOPUS
  • Ulrich's Periodicals Directory

 

2020  
Scimago
H-index
5
Scimago
Journal Rank
0,165
Scimago
Quartile Score
Engineering (miscellaneous) Q3
Environmental Engineering Q4
Information Systems Q4
Management Science and Operations Research Q4
Materials Science (miscellaneous) Q4
Scopus
Cite Score
102/116=0,9
Scopus
Cite Score Rank
General Engineering 205/297 (Q3)
Environmental Engineering 107/146 (Q3)
Information Systems 269/329 (Q4)
Management Science and Operations Research 139/166 (Q4)
Materials Science (miscellaneous) 64/98 (Q3)
Scopus
SNIP
0,26
Scopus
Cites
57
Scopus
Documents
36
Days from submission to acceptance 84
Days from acceptance to publication 348
Acceptance
Rate

23%

 

2019  
Scimago
H-index
4
Scimago
Journal Rank
0,229
Scimago
Quartile Score
Engineering (miscellaneous) Q2
Environmental Engineering Q3
Information Systems Q3
Management Science and Operations Research Q4
Materials Science (miscellaneous) Q3
Scopus
Cite Score
46/81=0,6
Scopus
Cite Score Rank
General Engineering 227/299 (Q4)
Environmental Engineering 107/132 (Q4)
Information Systems 259/300 (Q4)
Management Science and Operations Research 136/161 (Q4)
Materials Science (miscellaneous) 60/86 (Q3)
Scopus
SNIP
0,866
Scopus
Cites
35
Scopus
Documents
47
Acceptance
Rate
21%

 

International Review of Applied Sciences and Engineering
Publication Model Gold Open Access
Submission Fee none
Article Processing Charge 1100 EUR/article
Regional discounts on country of the funding agency World Bank Lower-middle-income economies: 50%
World Bank Low-income economies: 100%
Further Discounts Limited number of full waiver available. Editorial Board / Advisory Board members: 50%
Corresponding authors, affiliated to an EISZ member institution subscribing to the journal package of Akadémiai Kiadó: 100%
Subscription Information Gold Open Access
Purchase per Title  

International Review of Applied Sciences and Engineering
Language English
Size A4
Year of
Foundation
2010
Publication
Programme
2021 Volume 12
Volumes
per Year
1
Issues
per Year
3
Founder Debreceni Egyetem
Founder's
Address
H-4032 Debrecen, Hungary Egyetem tér 1
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 2062-0810 (Print)
ISSN 2063-4269 (Online)

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
Apr 2021 0 0 0
May 2021 2 0 0
Jun 2021 6 0 0
Jul 2021 3 0 0
Aug 2021 3 0 0
Sep 2021 0 0 0
Oct 2021 0 0 0