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JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Nov 2024
Next issue: Feb 2025
Avg review time: 58 days
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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

2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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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
 
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Download PDF pdficon (554 KB) | Citation | Downloads: 721 | Views: 7,174

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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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  «-- Click to see who has cited this paper

[1] M. Kahrs, K. Brandenburg, "Applications of Digital Signal Processing to Audio and Acoustics", Kluwer Academic Publishers, 1998 [PermaLink]

[2] Maurice Bellanger, "Adaptive Digital Filters", Second Edition Revised and Expanded, Marcel Deker Inc., 2001 [PermaLink]

[3] Damian E. Marelli, "Subband Approach to System Identification", Ph.D. Thesis, University of Newcastle, Australia, 2003

[4] Koen Eneman, Marc Moonen, "A Relation Between Subband and Frequency Domain Adapting Filtering", Proceedings of the 13th International Conference on Digital Signal Processing (DSP97), Santorini, Greece

[5] Norbert Toma, Marina Topa, Irina Muresan, Botond Kirei, Marius Neag, Albert Fazakas, "Acoustic Modelling and Optimization of a Room", Acta Technica Napocensis - Electronics and Telecommunications, Volume 50, Number 2/2009, pp. 25-30

[6] T. van Waterschoot, M. Moonen, "50 Years of Acoustic Feedback Control: State of the Art and Future Challenges", Internal Report 08-13, K.U. Leuven, 2008

References Weight

Web of Science® Citations for all references: 0
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 0
SCOPUS® Average Citations per reference: 0

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 2024-12-22 01:36 in 3 seconds.




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


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