Development, implementation and experimental detection of errors for algorithms of adaptive filtration in real time mode within systems of active noise control
Keywords:
digital signal processing, algorithms for adaptive signal filtering, active noise reductionAbstract
The main issues of designing the algorithms for digital signal processing in systems of active noise cancellation are considered. The paper presents the main results of the design, implementation and analysis of performance and detection of errors of the developed digital filters for active noise control systems in real time mode. The work was performed as part of the grant RFBR No № 14-07-31100\14 (mol_a).References
Akhtar M. T., Abe M., Kawamata M. (2004). Modified-filtered-x LMS algorithm based active noise control systems with improved online secondary-path modeling. Circuits and Systems. MWSCAS '04. The 2004 47th Midwest Symposium, 13-16. URL: http://dx.doi.org/ 10.1109/MWSCAS.2004.1353885 (дата обращения: 04.05.2015).
Alex Jos´e Velosoa A. J. and Nascimento V. H. (2005). Proceedings of the Congress and Exposition on Noise Control Engineering: Environmental Noise Control. URL: www.lps.usp.br/vitor/artigos/internoise05.pdf (дата обращения: 04.05.2015).
Elamin F., Gu F., Ball A., (2010). Diesel Engine Injector Faults Detection Using Acoustic Emissions Technique. Modern Applied Science, 4(9). URL: http://dx.doi.org/10.5539/mas.v4n9p3 (дата обращения: 04.05.2015).
Gaikwad P., Jain M., Yevle P. and Bhandari S. U., (2013). Active Noise Control Using Field Programmable Gate Arrays. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 2(2): 793-799. URL: www.ijareeie.com/upload/february/7-Active%20Noise%20Control.pdf (дата обращения: 07.05.2015). NE5532 Datasheet: Dual low-noise operational amplifires, (2009). URL: http://www.ti.com/lit/ds/symlink/-ne5532.pdf (дата обращения: 04.05.2015).
