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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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ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
Issue 3/2016

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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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  3/2013 - 6

Simulation Model of the ANC System for Noise Reduction in the Real Ambient

MILIVOJEVIC, Z. N. See more information about MILIVOJEVIC, Z. N. on SCOPUS See more information about MILIVOJEVIC, Z. N. on IEEExplore See more information about MILIVOJEVIC, Z. N. on Web of Science, STOJANOVIC, V. O. See more information about STOJANOVIC, V. O. on SCOPUS See more information about STOJANOVIC, V. O. on SCOPUS See more information about STOJANOVIC, V. O. 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 (1,096 KB) | Citation | Downloads: 315 | Views: 1,659

Author keywords
active noise control, adaptive algorithm, fan noise, digital signal processing

References keywords
noise(13), active(12), control(11), speech(9), processing(9), signal(8), path(7), modeling(6), audio(6), systems(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-08-31
Volume 13, Issue 3, Year 2013, On page(s): 33 - 38
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.03006
Web of Science Accession Number: 000326321600006
SCOPUS ID: 84884923470

Abstract
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Full text preview
The simulation model of ANC system for noise reduction caused by rotating machines in a room was described in the first part of this paper. This simulation model was presented in an acoustic-electrical diagram. The detailed mathematical analysis of the adaptive algorithm was performed. The second part of the paper presents the simulation results of the application of the ANC system for the noise reduction of fans in a room intended for a classroom. Simulation was performed for sine and real aroused signal. The results are presented both numerically and graphically and the comparative analysis was also done.


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

[1] P. A. Nelson, S. J. Elliott, Active Control of Sound, Academic Press, San Diego, CA, 1992.

[2] C. H. Hansen, S. D. Snyder, Active Control of Noise and Vibration, Spon Press, 1996.

[3] S. M. Kuo, D. R. Morgan, Active Noise Controls Systems—Algorithms and DSP Implementations, Wiley, NewYork, 1996.

[4] S. J. Elliott, I. M. Stothers, P. A. Nelson, "A Multiple Error LMS Algorithm and Its Application to the Active Control of Sound and Vibration", IEEE Trans. on Acoustics, Speech, and Signal Processing ASSP-35, No. 10, pp. 1423-1434, Oct., 1987.
[CrossRef] [Web of Science Times Cited 379] [SCOPUS Times Cited 480]


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[CrossRef] [Web of Science Times Cited 208] [SCOPUS Times Cited 259]


[7] A. Gonzalez, A. Albiol, S. Elliott, "Minimisation of the maximum error signal in active control", IEEE Trans. Speech Audio Processing, vol. 6, no. 3, pp. 268-281, May 1998.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 16]


[8] Texas Instruments, Design of Active Noise Control Systems With the TMS 320 Family, Application Report, 1996.

[9] C. Boucher, S. Elliott, P. Nelson, "Effect of errors in the plant model on the performance of algorithms for adaptive feedforward control", IEE Proceedings F, Radar and Signal Processing, vol. 138, no. 4, pp. 313-319, 1991.
[CrossRef]


[10] X. Sun, N. Liu, G. Meng, "Adaptive frequency tuner for active narrowband noise control systems", Mechanical Systems and Signal Processing, vol. 23, pp. 845-854, 2009.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 7]


[11] J. B. Allen, "Image method for efficiently simulating small-room acoustics", Journal of the Acoustical Society of America, vol. 65, no. 4, pp. 943-950, Apr. 1979.
[CrossRef] [Web of Science Times Cited 1391] [SCOPUS Times Cited 1805]


[12] E. A. P. Habets, "Room Impulse Response Generator", internal report, Sept. 2010, [Online] Available: Temporary on-line reference link removed - see the PDF document

[13] G. Seshadri, B. Yegnanarayana, "Performance of an Event-Based Instantaneous Fundamental Frequency Estimator for Distant Speech Signals", IEEE Trans. on Audio, Speech, and Language Processing, vol. 19, no. 7, pp. 1853-1864, Sept. 2011.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 13]


[14] S. C. Chan, Y. Chu, "Performance Analysis and Design of FxLMS Algorithm in Broadband ANC System With Online Secondary-Path Modeling", IEEE Transactions On Audio, Speech, And Language Processing, vol. 20, no. 3, March 2012.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 19]


[15] S. M. Kuo, D. Vijayan, "A secondary-path modeling technique for active noise control systems," IEEE Trans. Speech, Audio Processing, vol. 5, no. 4, pp. 374-377, Jul. 1997.
[CrossRef] [Web of Science Times Cited 83] [SCOPUS Times Cited 114]


[16] M. Zhang, H. Lan, W. Ser, "Cross-updated active noise control system with online secondary-path modeling," IEEE Trans. Speech Audio Processing., vol. 9, no. 5, pp. 598-602, Jul. 2001.
[CrossRef] [Web of Science Times Cited 75] [SCOPUS Times Cited 132]


[17] H. Lan, M. Zhang, W. Ser, "An active noise control system using online secondary-path modeling with reduced auxiliary noise," IEEE Signal Process. Lett., vol. 9, no. 1, pp. 16-18, Jan. 2002.
[CrossRef] [SCOPUS Times Cited 25]


[18] M. Wu, X. Qiu, G. Chen, "The statistical behavior of phase error for deficient-order secondary path modeling," IEEE Signal Process. Lett, vol. 15, pp. 313-316, 2008.
[CrossRef] [Web of Science Times Cited 8] [SCOPUS Times Cited 12]


[19] J. Liu, Y. Xiao, J. Sun, L. Xu, "Analysis of online secondary-path modeling with auxiliary noise scaled by residual noise signal", IEEE Trans. Audio, Speech, Lang. Process., vol. 18, no. 8, pp. 1978-1993, Nov. 2010.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 20]


[20] C. Y. Chang, D. R. Chen, "Active Noise Cancellation Without Secondary Path Identification by Using an Adaptive Genetic Algorithm", IEEE Transactions on Instrumentation and Measurement, vol. 59, no. 9, pp. 2315-2327, 2010.
[CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 37]




References Weight

Web of Science® Citations for all references: 2,613 TCR
SCOPUS® Citations for all references: 3,538 TCR

Web of Science® Average Citations per reference: 124 ACR
SCOPUS® Average Citations per reference: 168 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 2017-06-22 10:14 in 98 seconds.




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


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