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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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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.

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  3/2013 - 8

Rapid Prototyping of Sub-band Acoustic Echo Cancellers on FPGA Platforms

MURESAN, I. See more information about MURESAN, I. on SCOPUS See more information about MURESAN, I. on IEEExplore 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, CONTAN, C. See more information about  CONTAN, C. on SCOPUS See more information about  CONTAN, C. on SCOPUS See more information about CONTAN, C. on Web of Science, TOPA, M. D. See more information about TOPA, M. D. on SCOPUS See more information about TOPA, M. D. on SCOPUS See more information about TOPA, M. D. 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

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Author keywords
acoustic echo cancellation, field programmable gate arrays, normalized least mean square filters, multi-rate signal processing, Xilinx system generator

References keywords
systems(14), adaptive(14), processing(13), signal(11), multi(9), fpga(9), echo(9), rate(8), implementation(8), design(8)
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): 45 - 50
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.03008
Web of Science Accession Number: 000326321600008
SCOPUS ID: 84884922053

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The paper focuses on a rapid prototyping technique of an acoustic echo canceller implemented on an FPGA platform. The goal is to reduce design, optimization and implementation cost and execution time. In complex signal processing applications, high-order adaptive filter structures suffer from decreased convergence speed and high computational complexity. The sub-band adaptive filtering technique is able to eliminate these disadvantages. The execution time of the echo cancellation in an acoustic enclosure is decreased using multi-rate digital signal processing. To speed-up the execution time of a common acoustic echo canceller, the sub-band decomposition of the source signal is proposed. Here, this procedure is implemented using the Xilinx System Generator library. The hardware implementation of the well-known NLMS adaptive algorithm was carried out. Moreover, the FIR filters in the analysis and synthesis banks are designed with the window method (using the Kaiser window), as the determination of the filter's coefficients is an important procedure to eliminate the alias. The alias occurs due to the usage of multi-rate systems. Hardware implementations that test the behavior of the proposed system were tested for nonstationary input signals. Results show superior tracking abilities of the designed system. Also, an estimation of the FPGA resources is established in each case. The ML501 Xilinx FPGA development board was used for its specific digital signal processing facilities.

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

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References Weight

Web of Science® Citations for all references: 236 TCR
SCOPUS® Citations for all references: 260 TCR

Web of Science® Average Citations per reference: 5 ACR
SCOPUS® Average Citations per reference: 6 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

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