|3/2009 - 13|
The Unit Histogram Concept for Scarce Statistical InformationRUGESCU, R. D.
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (480 KB) | Citation | Downloads: 718 | Views: 3,445|
unit histogram, scarce population statistics, squeezed information, unit filter
processing(6), histograms(6), time(4), statistics(4), signal(4), analysis(4)
No common words between the references section and the paper title.
About this article
Date of Publication: 2009-10-26
Volume 9, Issue 3, Year 2009, On page(s): 68 - 74
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2009.03013
Web of Science Accession Number: 000271872000013
SCOPUS ID: 77954753836
The new unit histogram concept is described as increasing with one order of magnitude the amount of statistical information extracted from experimental data. The new statistical technology is particularly suited for very scarce population samples, when it dramatically increases the information extracted from the available data. Otherwise, existing features of the population would remain inaccessible. The method could prove useful also for signal processing, when a high level of accuracy in detail rendition is required. The efficiency of the method is demonstrated in examples of experimental measurement of the combustion heat delivered by rocket propellants. Populations as small as of six readings, where the regular statistics is useless, are successfully processed and characterized.
|References|||||Cited By «-- Click to see who has cited this paper|
| Allen, J.B. and L.R. Rabiner, "A unified approach to short-time Fourier analysis and synthesis", Proceedings of the IEEE, ISSN 0018-9219, 65, Issue 11(1977), pp. 1558-1564
 Amabile, T., "Describing distributions, Consortium for Mathematics and Its Applications", Chedd- Angier Production Co., 59 min. Videorecording, KAMU-TV, College Station, Texas USA, 1989
 Apostolescu, N. and D. Taraza, "Basics of experimental research in thermal machines", pp. 443-472. Ed. D. P., Bucharest 1979
 Austin, J.D., D.W. Scott, "Beyond histograms: average shifted histograms", Math. Comput. Educ., 25, 1(1991), pp. 42-52
 Bajramovic, F., Ch.Grassl and J. Denzler, "Efficient Combination of Histograms for Real-Time Tracking Using Mean-Shift and Trust-Region Optimization", in Kropatsch, W. Sablatnig, R., Hanbury, A. (Eds.): DAGM 2005, LNCS 3663, Springer-Verlag Berlin Heidelberg 2005, pp. 254-261
 Basseville, M., "Signal Processing", 18(1989), pp. 349-369
[CrossRef] [Web of Science Times Cited 269] [SCOPUS Times Cited 329]
 Berghaus, D., "Numerical Methods for Experimental Mechanics", Kluwer Acad. Publ., ISBN 0-7923-7403-7Dordrecht, 312 p. 2001 [PermaLink]
 Brdiczka, O., J. Maisonnasse, P. Reignier and J.L. Crowley, "10th Int. Conf. KES 2006", Bournemouth, UK, Oct. 9-11, 2006, Part II, Springer ISBN 978-3-540-46537-9, p. 162 [PermaLink]
 Brunelli, R. and D. Falavigna, "Person Identification Using Multiple Cues", 17, 10, pp. 955-966, 1995
[CrossRef] [Web of Science Times Cited 281] [SCOPUS Times Cited 391]
 Ciochina, S., "Numerical Processing of Signals, Chapter 10: Fast Algorithms to Perform Convolution and the Discrete Fourier Transform", University Politehnica of Bucharest (in Romanian), 2006, site address: www.comm.pub.ro/curs/pns/cursuri/capitolul2p1.pdf
 Cook, N.H. and E. Rabinovicz, "Physical Measurement and Analysis", p.29-68. Addison-Wesley Publishing Co., Reading, Massachusetts, 1963 [PermaLink]
 Coolidge, F.L., "Statistics: a gentle introduction", 2nd ed., Sage Publications ISBN 1412924944, Thousand Oaks, CA, 2006 [PermaLink]
 El-Samahy, E., M. Mahfouf and D.A. Linkens, "Artificial Intelligence in Medicine 38", pp. 257-274, 2006
[CrossRef] [PubMed] [Web of Science Times Cited 5] [SCOPUS Times Cited 7]
 Fuchs, D., Z. He and B.S. Lee, "Info. Sci. 177", pp. 680-702, 2007
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 11]
 Gibbons, Ph. B., Y. Matias and V. Poosala, "ACM Transactions on Database Systems", 27, 3(Sept. 2002), pp. 261-298
[CrossRef] [Web of Science Times Cited 43] [SCOPUS Times Cited 68]
 Gish, H., J. Makhoul and S. Roucos, "Vector quantization in speech coding", Proc. IEEE, 73, 11, pp. 1551-1588, 1985
[CrossRef] [Web of Science Times Cited 384] [SCOPUS Times Cited 484]
 Griffin, D. and L. Jae., "Signal estimation from modified short-time Fourier transform", IEEE Transactions on Signal Processing, ISSN 0096-3518, 32, Issue 2(1984), pp. 236-243
 Hamming, R.W., "Numerical methods for scientists and engineers. International Series in Pure and Applied Mathematics", McGraw-Hill Book Co., Inc., New York-San Francisco, Calif.-Toronto-London, xvii+411 p., 1962
 Hamalainen, J.S., "IEE Proc.-Sci. Meas.", Technol., 151, 6 (Nov. 2004), pp. 492-495
 Harris, F.J., "On the use of windows for harmonic analysis with the discrete Fourier transform", Proc. IEEE, 66, 1, pp. 51-83, 1978
[CrossRef] [Web of Science Times Cited 3326] [SCOPUS Times Cited 4063]
 Jackson, L.B., "Digital Filters and Signal Processing", Boston, MA: Kluwer A.P, pp. 85-92, 1986
 Juhee, S., "Bootstrapping in a high dimensional but very low sample size problem", Ph. D. Thesis, Texas A&M University, USA, 2006
 Lam, E. and K. Salem, "Proceedings of the 9th International Database Engineering & Application Symposium", (IDEAS-2005)
 Lobos, T. and J. Rezmer, "Real-Time Determination of Power Systems", Proceedings of the lEEE Instrumentation and Measurement Technology Conference, Brussels, Belgium, June 4-6, 1996, pp. 756-761
 Lu, Z.-M., H. Burkhardt, "Electronics Letters", 18th August 2005 41, 17
 Matusita, K., "The Annals of Mathematical Statistics", 26, 4 (Dec. 1955), pp. 631-640
 Obraztsov, S.M., Yu.V. Konobeev, G.A. Birzhevoy and V.I. Rachkov. J. "Nucl." Mat., 359(2006), pp.263-267
 Plackett, R.L. J. Amer, "Statistic. Assoc.", 60, No. 310 (June 1965), p. 516
 Rubner, Y., C. Tomasi, and L.J. Guibas, "A Metric for Distributions with Applications to Image Databases", pp. 59-66, 1998
 Rugescu, R. D., "Revista de Chimie", ISSN 0034-7752, Ed. Chiminform Data S. A., 59, 6(2007), pp. 579-581
 Rugescu, R. D., V. Silivestru, and S. Aldea, "Natural Histogram for High Definition Data Statistics", Paper KD-005681-4610, Proceedings of the 6th IEEE International Conference on Industrial Informatics, INDIN-2008, 13-16 July, Daejeon, Korea (CD, pp. NA)
 Serratosa, F. and A. Sanfeliu, "N. Computer Sci.", 3773; 10th Iberoamerican Congress on Pattern Recognition, CIARP-2005, p. 1027
 Su, Y.T. and Ju-Ya Chen, " ", IEEE Transactions on communications, 48, 8(Aug. 2000), pp. 1338-1346
 Wang, Jung-Hua, Liu, Wen-Jeng, and Lin, Lian-Da, "Histogram-Based Fuzzy Filter for Image Restoration", IEEE Transactions on Systems, Man, and CyberneticsPart B, Cybernetics, Vol. 32, No. 2, April 2002
 Wilcox, R.R., "Applying contemporary statistical techniques", Academic Press ISBN 0127515410, San Diego, CA
 Xiaoli, Li., "Lecture Notes in Computer Science/Neural Information Processing", Springer-Verlag, Volume 4234/2006, (The 13th International Conference on Neural Information Processing-ICONIP2006, HK. 2006 Oct.3-6.), pp. 66-73
 Yu, L. and E.O. Voit, "Computational Statistics & Data Analysis", 51, 2006, pp. 1822-1839
 Cha, Sung-Hyuk, Srihari, Sangur N., "On measuring the distance between histograms", Pattern recognition, 35(2002), pp. 1355-1370
 Serratosa, F., and Sanfeliu, A., "A Fast and Exact Modulo-Distance Between Histograms", D.-Y. Yeung et al. (Eds.): SSPR&SPR 2006, LNCS 4109, pp. 394-402, 2006
 Serratosa, F., and Sanfeliu, A., "Signatures versus histograms: Definitions, distances and algorithms", Pattern recognition, 39(2006), pp. 921-934
Web of Science® Citations for all references: 4,316 TCR
SCOPUS® Citations for all references: 5,353 TCR
Web of Science® Average Citations per reference: 108 ACR
SCOPUS® Average Citations per reference: 134 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 2018-07-20 08:28 in 82 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.