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FACTS & FIGURES

JCR Impact Factor: 1.102
JCR 5-Year IF: 0.734
Issues per year: 4
Current issue: Feb 2021
Next issue: May 2021
Avg review time: 56 days


PUBLISHER

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

2020-Jun-29
Clarivate Analytics published the InCites Journal Citations Report for 2019. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.102 (1.023 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.734.

2020-Jun-11
Starting on the 15th of June 2020 we wiil introduce a new policy for reviewers. Reviewers who provide timely and substantial comments will receive a discount voucher entitling them to an APC reduction. Vouchers (worth of 25 EUR or 50 EUR, depending on the review quality) will be assigned to reviewers after the final decision of the reviewed paper is given. Vouchers issued to specific individuals are not transferable.

2019-Dec-16
Starting on the 15th of December 2019 all paper authors are required to enter their SCOPUS IDs. You may use the free SCOPUS ID lookup form to find yours in case you don't remember it.

2019-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2018. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.650, and the JCR 5-Year Impact Factor is 0.639.

2018-May-31
Starting today, the minimum number a pages for a paper is 8, so all submitted papers should have 8, 10 or 12 pages. No exceptions will be accepted.

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  1/2010 - 8

 HIGHLY CITED PAPER 

Digital Adaptive Echo-Canceller for Room Acoustics Improvement

TOPA, M. D. See more information about TOPA, M. D. on SCOPUS See more information about TOPA, M. D. on IEEExplore See more information about TOPA, M. D. on Web of Science, MURESAN, I. See more information about  MURESAN, I. on SCOPUS See more information about  MURESAN, I. on SCOPUS See more information about MURESAN, I. on Web of Science, KIREI, B. S. See more information about  KIREI, B. S. on SCOPUS See more information about  KIREI, B. S. on SCOPUS See more information about KIREI, B. S. on Web of Science, HOMANA, I. See more information about HOMANA, I. on SCOPUS See more information about HOMANA, I. on SCOPUS See more information about HOMANA, I. on Web of Science
 
Click to see author's profile in 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 (554 KB) | Citation | Downloads: 298 | Views: 6,027

Author keywords
adaptive system identification, echo-canceller, reverberation, room acoustics, sub-band filtering

References keywords
No relevant keywords could be extracted from the references.

About this article
Date of Publication: 2010-02-27
Volume 10, Issue 1, Year 2010, On page(s): 50 - 53
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.01008
Web of Science Accession Number: 000275458900008
SCOPUS ID: 77954686033

Abstract
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Full text preview
This paper presents a method to cancel the echoes generated by reflections in a room. The starting point is the full-band adaptive system identification method, where the unknown system is the room, providing several reflections of the sound. A sub-band filtering method is proposed and all the aspects regarding the filter banks, the structure, the number of sub-bands and the order of the required filters are analyzed. The performance is studied with respect to the provided error and the echo return loss enhancement. The asymmetric structure sub-band filtering offers a better performance than the full-band implementation. Increasing the number of sub-bands will also enhance the performance of the system.


References | Cited By

Cited-By Clarivate Web of Science

Web of Science® Times Cited: 4 [View]
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Cited-By SCOPUS

SCOPUS® Times Cited: 4
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View citations in SCOPUS® [Free preview]

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Cited-By CrossRef

[1] A novel sub-band adaptive filtering for acoustic echo cancellation based on empirical mode decomposition algorithm, He, Xiaochuan, Goubran, Rafik A., Liu, Peter X., International Journal of Speech Technology, ISSN 1381-2416, Issue 1, Volume 17, 2014.
Digital Object Identifier: 10.1007/s10772-013-9203-7
[CrossRef]

[2] Rapid Prototyping of Sub-band Acoustic Echo Cancellers on FPGA Platforms, MURESAN, I., KIREI, B. S., CONTAN, C., TOPA, M. D., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.03008
[CrossRef] [Full text]

[3] Blind Source Separation for Convolutive Mixtures with Neural Networks, KIREI, B. S., TOPA, M. D., MURESAN, I., HOMANA, I., TOMA, N., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 11, 2011.
Digital Object Identifier: 10.4316/AECE.2011.01010
[CrossRef] [Full text]

Updated 1 week, 2 days ago

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


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