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Family of Parallel LMS-based Adaptive Algorithms of Echo Cancellation

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EN
Abstrakty
EN
In this paper we propose a number of new, genuine parallel LMS-based adaptive algorithms in the context of their use in the acoustic echo cancellation. The most complex parts of the LMS-based algorithms were determined and parallelized. A number of genuine parallelization methods were proposed taking into consideration varied types of architectures of modern concurrent computing environment, such as GPUs, clusters of workstations and cloud computing.
Twórcy
autor
  • Wrocław University of Technology Faculty of Electronics, Department of Acoustics and Multimedia Wyb. Wyspiańskiego 27, 50-370 Wrocław, Poland, andrzej.dobrucki@pwr.wroc.pl
  • General Tadeusz Kościuszko Military Academy of Land Forces Faculty of Management, Department of System Engineering ul. Czajkowskiego 109, 51-150 Wrocław, Poland, maciej.walczynski@pwr.wroc.pl
autor
  • Wrocław University of Technology Institute of Computer Engineering, Control and Robotics Wyb. Wyspiańskiego 27, 50-370 Wrocław, Poland, wojciech.bozejko@pwr.wroc.pl
Bibliografia
  • [1] H. Yusukawa, S. Shimada, An acoustic echo canceller using subband sampling and decorrelation methods, IEEE Trans. Signal Processing, 41, 926-930 (1993).
  • [2] J. Chen, H. Bes, J. Vandewalle, P. Janssens, A new structure for sub-band acoustic echo canceler, Proc. IEEE ICASSP, 2574-2577 (1988).
  • [3] W. Kellermann, Some aspects of the frequency-subband approach to the cancellation of acoustical echoes, Proc. IEEE ICASSP, 2570-2573 (1988).
  • [4] B. Hatty, Block Recursive Least Squares Adaptive Filters Using Multirate Systems for Cancellation of Acoustical Echoes, Proc. IEEE ASSP Workshop on Application of Signal Processing to Audio and Acoustics, 1989.
  • [5] A. Gilliore, M. Vetterli, Adaptive filtering in subbands with criticalsampling: analysis, experiments, and application to acoustic echo cancellation, IEEE Trans. Signal Processing, 40, 1862-1875 (1992).
  • [6] A. Herikstad, Gpu sound processing, December 2008. Specialization Project TDT4590, Complex Computer Systems, NTNU. 33, 36, 39, 47.
  • [7] A. Dobrucki, W. Bożejko, M. Walczyński, Parallelizing of digital signal processing with using GPU, Signal processing, algorithms, architectures, arrangements, and (2012) applications, SPA 2010 : conference proceedings, Poznan, 23-25th September 2010. [Pozna´n : Chapter Circuits and Systems Chapter Signal Processing Poland Section, Institute of Electrical and Electronics Engineers, 2010], 29-33.
  • [8] W. Bożejko, M. Walczyński, Noise reduction with using parallel algorithms, Noise Control ’10 [electronic document]: 15th International Conference on Noise Control, 6-9 June 2010, Wałbrzych. Warszawa : Centralny Instytut Ochrony Pracy – Pa´nstwowy Instytut Badawczy, 2010, 1-8.
  • [9] M. Walczyński, Zastosowanie algorytmów równoległych w problemie odszumiania sygnałów d´zwi˛ekowych i wizyjnych na przykładzie algorytmu LMS w mechatronice, Mechatronika. Nauka dla gospodarki. Rzeszów 2011. ISBN 978-83-63151-01-0 (in polish).
  • [10] A. Dobrucki, S. Brachmański, P. Pruchnicki, P. Staroniewicz, P. Plaskota, M. Walczy´nski, Subvocal speech recognition based on electromyography : Package WP7:Source codes of software for parameterization of recorded SVR signals and for management of files with signals. Technical documentation of SVR sensor. Package WP8: Test of the realized SVR sensor Results of subvocal speech recognition using sensor. Summary of results achived in project, Report SPR series, 2012.
  • [11] A. Dobrucki, S. Brachmański, P. Pruchnicki, P. Staroniewicz, P. Plaskota, M. Walczyński, Subvocal speech recognition based on electromyography : Package WP4: Purchased equipment and its running EMG-SVR parametrization algorithms; Database of test signals; Experiments with EMG signals for vocal and subvocal speech, Report SPR series, 2011.
  • [12] A. Dobrucki, W. Bo˙zejko, M. Walczyński, LMS algorithms parallelization in GPGPU environment, Elektronika (Warsaw), 52(5), 49-53 (2011).
  • [13] M.M. Sondhi, An adaptive echo canceller, Bell Syst. Tech. J., 46(3), 497-511 (1967).
  • [14] M.M. Sondhi and A.J. Presti, A self-adaptive echo canceller, Bell Syst. Tech. J., 45(12), 1851-1854 (1966).
  • [15] W. Bożejko, On single-walk parallelization of the job shop problem solving algorithms, Computers & Operations Research 39, 2258-2264 (2012). 200 A. Dobrucki, M. Walczyński, W. Bożejko
  • [16] T.H. Cormen, C. E. Leiserson, R. L. Rivest, C. Stein, Introduction to algorithms, MIT Press, 2009.
  • [17] T. Gansler, J. Benesty, D. R. Morgan, M. M. Sondhi, S. L. Gay, Advances in Network and Acoustic Echo Cancellation, Springer-Verlag, Berlin, Germany, 2001.
Typ dokumentu
Bibliografia
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