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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

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  3/2012 - 2

Parallel-Hierarchical Computing System for Multi-Level Transformation of Masked Digital Signals

YAROVYY, A. A. See more information about YAROVYY, A. A. on SCOPUS See more information about YAROVYY, A. A. on IEEExplore See more information about YAROVYY, A. A. on Web of Science, TIMCHENKO, L. I. See more information about  TIMCHENKO, L. I. on SCOPUS See more information about  TIMCHENKO, L. I. on SCOPUS See more information about TIMCHENKO, L. I. on Web of Science, KOKRIATSKAIA, N. I. See more information about KOKRIATSKAIA, N. I. on SCOPUS See more information about KOKRIATSKAIA, N. I. on SCOPUS See more information about KOKRIATSKAIA, N. I. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,616 KB) | Citation | Downloads: 439 | Views: 1,997

Author keywords
codes, computer science, image processing, parallel processing, transform coding

References keywords
yarovyy(11), processing(10), parallel(8), timchenko(7), hierarchical(7), kozhemyako(6), digital(6), transformation(5), systems(5), signal(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2012-08-31
Volume 12, Issue 3, Year 2012, On page(s): 13 - 20
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.03002
Web of Science Accession Number: 000308290500002
SCOPUS ID: 84865841747

Abstract
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Full text preview
Paper deals with organization principles of parallel-hierarchical (PH) transform for multistage perception and processing, compression and recognition of information in computational systems which make use of computational scheme similar to neural. Unified methodological approach was developed for analysis of parallel processes. This approach considers influence of structural hierarchy in dynamics. It tracks processes of spatial areas transformation of correlated and generation of uncorrelated in time elements of generated PH network, at the time of transition of the network from one stable stage to another. The main feature of the proposed method is the studying of the dynamics of spatial-correlated procedure for transformation between current and output units in PH network. This procedure gives an opportunity to present processing in PH network as the process of parallel-sequential transformation of diverse image components and consideration of temporal characteristics of transformation. The features analysis of structural-functional organization of networking model of PH transformation of the information environments and corresponding masks generation methods is realized in the given research. On the base of research carried out the method of optimized masks formation while information coding in PH transformation is proposed. The software package, characterized by increased efficiency of direct and reverse PH transformation is developed.


References | Cited By  «-- Click to see who has cited this paper

[1] S. Engelberg, "Digital Signal Processing. An Experimental Approach", Springer, 2008.

[2] S. S. Bhattacharyya, E. F. Deprettere, R. Leupers, J. Takala, "Handbook of Signal Processing Systems", Springer, 2010.
[CrossRef]


[3] U. Prett, "Digital image processing", Mir, Moscow, 1982.

[4] U. Grenader , "Lections of theory of patterns. Patterns analysis" - Mir, Moscow, 1981.

[5] B. Sklyar, "Digital communication. Theory and practical applications", Publishing house "Wilyams", Moscow, 2003.

[6] A. Sergienko, "Digital signal processing", Publishing house "Piter", St. Petersburg, 2006.

[7] V. Kozhemyako, Yu. Kutaev, S. Svechnikov, L. Timchenko, A. Yarovyy, "Parallel-hierarchical model of systemic transformation as optoelectronic means of artificial intelligence", Univ-Vinnytsia, 2003.

[8] A. A. Yarovyy, "Applied Realization of Neural Network and Neurolike Parallel-Hierarchical System Based on GPGPU", Proceedings of the 10th International Conference on DAS-2010, Universitatea Stefan cel Mare Suceava, Romania, pp. 351-356, 2010.

[9] V. Kozhemyako, L. Timchenko, A. Yarovyy, "Methodological Principles of Pyramidal and Parallel-Hierarchical Image Processing on the Base of Neural-Like Network Systems," Advances in Electrical and Computer Engineering, vol. 8, no. 2, pp. 54-60, 2008.
[CrossRef] [Full Text] [SCOPUS Times Cited 4]


[10] V. P. Kozhemyako, L. I. Timchenko, A. A. Yarovyy, "Software Support of Accurately Measurement and Prediction of Laser Beam Profile Characteristics", Proceedings of the X International Conference "Swiatiowody i ich zastosowania", Vol. 2, Wydawnictwo-Drukarnia Liber Duo s.c., Poland, pp. 675-684, 2006.

[11] L. Timchenko, Yu. Kutaev, V. Kozhemyako, A. Gertsiy, A. Yarovyy, N. Kokryatskaya, "Method for Processing of Extended Laser Paths Images", Advances in Electrical and Computer Engineering, Vol. 3 (10), no 2 (20), pp. 66-78, 2003.

[12] D. Knut, "Art of programming for computer", Mir, Moscow, 1978.

[13] B. Chazelle, "Computing on a Free Tree via Complexity-Preserving Mappings", Algorithmica 2, Springer-Verlag, pp. 337-361, 1987.

[14] L. Timchenko, Yu. Kutaev, V. Kozhemyako, A. Yarovyy, A. Gertsiy, A. Terenchuk, N. Shweiki, "Method for Training of a Parallel-Hierarchical Network, Based on Population Coding for Processing of Extended Laser Paths Images", Proceedings of SPIE, Vol. 4790, pp. 465-479, 2002.
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 16]


[15] A. Yarovyy, "Method of optimization of masks formation procedure while information coding by parallel-hierarchical transformation", Sc. journal "Visnyk of Vinnytsia Polytechnical Institute", no 6 (99). - pp. 216-223, 2011.

[16] E. Bryukhovich, "Automatic control and performance of computer systems", Sc. journal "Control systems and machines", no 4, 1979.

[17] E. Metlitskiy, V. Kaverznev, V. Timokhin, "The systems of parallel memory: theory, development, application", St. Petersburg University Press, 1989.

[18] V. Kozhemyako, L. Timchenko, A. Yarovyy, "The models of parallel-hierarchical information processing based of logic-time function apparatus", Abstracts of International Sc. Conf. "Information and computer technologies, modeling, control", Georgian Tech. Univ. Press, pp. 231-232, 2010.

[19] N. Ahmed, K. R. Rao, "Orthogonal Transforms for Digital Signal Processing", Springer-Verlag, Berlin, 1975.
[CrossRef]


[20] R. S. Stankovic, M. S. Stankovic, K. Egiazarian, L.P. Yaroslavsky, "Remarks on history of FFT and related algorithms", In: Astola, J. et al. (eds). Proceedings of the 2004 Int. TICSP Workshop on Spectral Methods and Multirate Signal Processing, Austria, pp. 281-288, 2004.

[21] K. J. Horadam, "A Generalized Hadamard Transform", Proc. 2005 IEEE ISIT, Australia, pp. 1006-1008, 2005.
[CrossRef]


[22] A. M. Grigoryan, "Brief notes in advanced DSP", CRC Press Taylor and Francis Group, 2009.
[CrossRef]


[23] A. Yarovyy, I. Sugak, Author's certificate of registration of copyright on software product - 39490. "Computer program of direct PH transformation with optimization of masks formation", 2011.

[24] A. Yarovyy, I. Sugak, Author's certificate of registration of copyright on software product - 39489. "Computer program of reverse PH transformation, based on optimized mask method", 2011.

[25] A. Yarovyy, L. Timchenko, N. Kokriatskaia, "Theoretical Aspects of Parallel-Hierarchical Multi-Level Transformation of Digital Signals", Proceedings of the 11th International Conference on DAS-2012, Universitatea Stefan cel Mare Suceava, Romania, pp. 1-9, 2012.

References Weight

Web of Science® Citations for all references: 16 TCR
SCOPUS® Citations for all references: 20 TCR

Web of Science® Average Citations per reference: 1 ACR
SCOPUS® Average Citations per reference: 1 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2017-12-15 23:30 in 46 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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