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JCR Impact Factor: 0.595
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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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LATEST NEWS

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.

2017-Apr-04
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2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

2017-Jan-30
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2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

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  4/2010 - 20

Searching Appropriate Mother Wavelets for Hyperanalytic Denoising

FIROIU, I. See more information about FIROIU, I. on SCOPUS See more information about FIROIU, I. on IEEExplore See more information about FIROIU, I. on Web of Science, NAFORNITA, C. See more information about  NAFORNITA, C. on SCOPUS See more information about  NAFORNITA, C. on SCOPUS See more information about NAFORNITA, C. on Web of Science, BOUCHER, J. M. See more information about  BOUCHER, J. M. on SCOPUS See more information about  BOUCHER, J. M. on SCOPUS See more information about BOUCHER, J. M. on Web of Science, ISAR, A. See more information about ISAR, A. on SCOPUS See more information about ISAR, A. on SCOPUS See more information about ISAR, A. 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 (1,507 KB) | Citation | Downloads: 866 | Views: 2,520

Author keywords
wavelet transforms, Hilbert transforms, white noise, filtering, MAP estimation

References keywords
wavelet(14), isar(8), image(5), hyperanalytic(5), denoising(5), processing(4), firoiu(4), boucher(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-11-30
Volume 10, Issue 4, Year 2010, On page(s): 125 - 128
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.04020
Web of Science Accession Number: 000284782700020
SCOPUS ID: 78649690158

Abstract
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Full text preview
The aim of this paper is the association of a new variant of Hyperanalytic Wavelet Transform (HWT) with a maximum a posteriori (MAP) filter, named bishrink for the denoising of images affected by additive white Gaussian noise (AWGN). The best results are obtained with the biorthogonal mother wavelets Daubechies 9/7.


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

[1] D. L. Donoho and I. M. Johnstone, "Ideal spatial adaptation by wavelet shrinkage", Biometrika, 81(3), pp. 425-455, 1994.
[CrossRef] [Web of Science Times Cited 4181] [SCOPUS Times Cited 5132]


[2] Foi, A., V. Katkovnik and K. Egiazarian, "Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images", IEEE Trans. Ima. Proc., (5), 1395-1411, 2007.
[CrossRef] [Web of Science Times Cited 218] [SCOPUS Times Cited 283]


[3] Firoiu I., Nafornita C., Boucher J. -M., Isar A., "Image Denoising Using a New Implementation of the Hyperanalytic Wavelet Transform," IEEE Transactions on Instrumentation and Measurements, vol. 58, Issue 8, pp. 2410-2416, August 2009.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 26]


[4] S. Foucher, G. B. Benie and J.-M. Boucher, "Multiscale MAP Filtering of SAR images", IEEE Trans. Ima. Proc., vol. 10, no.1, pp. 49-60, 2001.
[CrossRef] [PubMed] [Web of Science Times Cited 131] [SCOPUS Times Cited 178]


[5] L. Sendur and I. W. Selesnick, "Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency", IEEE Trans. on Signal Processing, 50(11), pp. 2744-2756, 2002.
[CrossRef] [Web of Science Times Cited 537] [SCOPUS Times Cited 733]


[6] F. Luisier, T. Blu and M. Unser, "A New SURE Approach to Image Denoising: Inter-Scale Orthonormal Wavelet Thresholding", IEEE Trans. Ima. Proc., vol.16, no. 3, pp. 593-606, 2007.
[CrossRef] [PubMed] [Web of Science Times Cited 274] [SCOPUS Times Cited 325]


[7] A. M. Atto, D. Pastor and G. Mercier, "Smooth Sigmoid Wavelet Shrinkage For Non-Parametric Estimation", IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Las Vegas, Nevada, USA, 30 march - 2008.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 11]


[8] A. Ebrahimzadeh, A. Khazaee, "An Efficient Technique for Classification of Electrocardiogram Signals," Advances in Electrical and Computer Engineering, vol. 9, no. 3, pp. 89-93, 2009.
[CrossRef] [Full Text] [Web of Science Times Cited 6] [SCOPUS Times Cited 13]


[9] S. C. Olhede and G. Metikas, "The hyperanalytic wavelet transform," Dept. Math., Imperial College, London, U.K. Imperial College Statistics Section Tech. Rep. TR-06-02, May 2006.

[10] C. Davenport, "Commutative Hypercomplex Mathematics", Available: Temporary on-line reference link removed - see the PDF document

[11] N. Kingsbury, "Complex Wavelets for Shift Invariant Analysis and Filtering of Signals", Applied and Comp. Harm. Anal. 10, pp. 234-253, 2001.
[CrossRef] [Web of Science Times Cited 681] [SCOPUS Times Cited 1188]


[12] I. Daubechies, "Ten Lectures on Wavelets", SIAM, Philadelphia, 1992.

[13] Ioana Firoiu, Alexandru Isar, Jean-Marc Boucher, "An Improved Version of the Inverse Hyperanalytic Wavelet Transform", Proceedings of IEEE International Symposium SCS'09, Iasi, Romania, July 9-10, pp. 13-16, 2009.
[CrossRef] [SCOPUS Times Cited 5]


[14] Firoiu I., Isar D., Boucher J.-M., Isar A., "Hyperanalytic Wavelet Packets," Proc. IEEE Conf. WISP 2009, Budapest, Hungary, pp. 67-72, 2009.
[CrossRef] [SCOPUS Times Cited 4]


[15] S.M. Lajevardi, Z. M. Hussain, "Feature Extraction for Facial Expression Recognition based on Hybrid Face Regions," Advances in Electrical and Computer Engineering, vol. 9, no. 3, pp. 63-67, 2009.
[CrossRef] [Full Text] [Web of Science Times Cited 6] [SCOPUS Times Cited 11]


[16] Nafornita C, Isar A., "On the Choice of the Mother Wavelet for Perceptual Data Hiding," Proceedings of IEEE International Symposium SCS'09, Iasi, Romania, July 9-10, pp. 233-236, 2009.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 3]


[17] Wan T., Canagarajah N., Achim A., "Segmentation-Driven Image Fusion Based on Alpha-Stable Modeling of Wavelet Coefficients," IEEE Transactions on Multimedia, vol. 11, no. 4, pp. 624-633, June 2009.
[CrossRef] [Web of Science Times Cited 42] [SCOPUS Times Cited 54]


[18] G. C. K. Abhayaratne, I. H. Jermyn and J. Zerubia, "Texture-adaptive mother wavelet selection for texture analysis", Proc. IEEE International Conference on Image Processing (ICIP), Genova, Italy, September 2005.
[CrossRef] [SCOPUS Times Cited 3]


[19] Oltean M., Isar A., "On The Time-Frequency Localization of the Wavelet Signals, with Application to Orthogonal Modulations," Proceedings of IEEE International Symposium SCS'09, Iasi, Romania, pp. 173-176, July 9-10, 2009.
[CrossRef] [SCOPUS Times Cited 12]


[20] Firoiu I., Isar A., Isar D., "A Maximum A Posteriori Approach of Hyperanalytic Wavelet Based Image Denoising in a Multi-Wavelet Context," Proceedings of the 9th WSEAS International Conference on Signal Processing (SIP '10), Catania, Italy, May 29-31, 2010.

References Weight

Web of Science® Citations for all references: 6,099 TCR
SCOPUS® Citations for all references: 7,981 TCR

Web of Science® Average Citations per reference: 305 ACR
SCOPUS® Average Citations per reference: 399 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 2017-10-18 09:57 in 109 seconds.




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


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